Research classified by Journal of Economic Literature (JEL) codes

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Top JEL
/ Q: Agricultural and Natural Resource Economics; Environmental and Ecological Economics
/ / Q4: Energy
/ / / Q47: Energy Forecasting

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This JEL code is mentioned in the following RePEc Biblio entries:

1. Energy Policy

2022

• Nonejad, Nima, 2022, "Forecasting crude oil price volatility out-of-sample using news-based geopolitical risk index: What forms of nonlinearity help improve forecast accuracy the most?," Finance Research Letters, Elsevier, volume 46, issue PA, DOI: 10.1016/j.frl.2021.102310.
• Conlon, Thomas & Cotter, John & Eyiah-Donkor, Emmanuel, 2022, "The illusion of oil return predictability: The choice of data matters!," Journal of Banking & Finance, Elsevier, volume 134, issue C, DOI: 10.1016/j.jbankfin.2021.106331.
• Degiannakis, Stavros & Filis, George, 2022, "Oil price volatility forecasts: What do investors need to know?," Journal of International Money and Finance, Elsevier, volume 123, issue C, DOI: 10.1016/j.jimonfin.2021.102594.
• Mishra, Aswini Kumar & Ghate, Kshitish & Renganathan, Jayashree & Kennet, Joushita J. & Rajderkar, Nilay Pradeep, 2022, "Rolling, recursive evolving and asymmetric causality between crude oil and gold prices: Evidence from an emerging market," Resources Policy, Elsevier, volume 75, issue C, DOI: 10.1016/j.resourpol.2021.102474.
• Yan, Xiang & Bai, Jiancheng & Li, Xiafei & Chen, Zhonglu, 2022, "Can dimensional reduction technology make better use of the information of uncertainty indices when predicting volatility of Chinese crude oil futures?," Resources Policy, Elsevier, volume 75, issue C, DOI: 10.1016/j.resourpol.2021.102521.
• Zhang, Lixia & Luo, Qin & Guo, Xiaozhu & Umar, Muhammad, 2022, "Medium-term and long-term volatility forecasts for EUA futures with country-specific economic policy uncertainty indices," Resources Policy, Elsevier, volume 77, issue C, DOI: 10.1016/j.resourpol.2022.102644.
• Zhang, Li & Wang, Lu & Wang, Xunxiao & Zhang, Yaojie & Pan, Zhigang, 2022, "How macro-variables drive crude oil volatility? Perspective from the STL-based iterated combination method," Resources Policy, Elsevier, volume 77, issue C, DOI: 10.1016/j.resourpol.2022.102656.
• Hammoudeh, Shawkat & Uddin, Gazi Salah & Sousa, Ricardo M. & Wadström, Christoffer & Sharmi, Rubaiya Zaman, 2022, "Do pandemic, trade policy and world uncertainties affect oil price returns?," Resources Policy, Elsevier, volume 77, issue C, DOI: 10.1016/j.resourpol.2022.102705.
• Ghaemi Asl, Mahdi & Adekoya, Oluwasegun Babatunde & Rashidi, Muhammad Mahdi & Ghasemi Doudkanlou, Mohammad & Dolatabadi, Ali, 2022, "Forecast of Bayesian-based dynamic connectedness between oil market and Islamic stock indices of Islamic oil-exporting countries: Application of the cascade-forward backpropagation network," Resources Policy, Elsevier, volume 77, issue C, DOI: 10.1016/j.resourpol.2022.102778.
• Jin, Daxiang & He, Mengxi & Xing, Lu & Zhang, Yaojie, 2022, "Forecasting China's crude oil futures volatility: How to dig out the information of other energy futures volatilities?," Resources Policy, Elsevier, volume 78, issue C, DOI: 10.1016/j.resourpol.2022.102852.
• Aikins Abakah, Emmanuel Joel & Gil-Alana, Luis A. & Tripathy, Trilochan, 2022, "Stochastic structure of metal prices: Evidence from fractional integration non-linearities and breaks," Resources Policy, Elsevier, volume 78, issue C, DOI: 10.1016/j.resourpol.2022.102910.
• Song, Yixuan & He, Mengxi & Wang, Yudong & Zhang, Yaojie, 2022, "Forecasting crude oil market volatility: A newspaper-based predictor regarding petroleum market volatility," Resources Policy, Elsevier, volume 79, issue C, DOI: 10.1016/j.resourpol.2022.103093.
• Xu, Yongan & Li, Ming & Yan, Wen & Bai, Jiancheng, 2022, "Predictability of the renewable energy market returns: The informational gains from the climate policy uncertainty," Resources Policy, Elsevier, volume 79, issue C, DOI: 10.1016/j.resourpol.2022.103141.
• Paramati, Sudharshan Reddy & Shahzad, Umer & Doğan, Buhari, 2022, "The role of environmental technology for energy demand and energy efficiency: Evidence from OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, volume 153, issue C, DOI: 10.1016/j.rser.2021.111735.
• Fetter, T. Robert, 2022, "Energy transitions and technology change: “Leapfrogging” reconsidered," Resource and Energy Economics, Elsevier, volume 70, issue C, DOI: 10.1016/j.reseneeco.2022.101327.
• Su, Yuandong & Liang, Chao & Zhang, Li & Zeng, Qing, 2022, "Uncover the response of the U.S grain commodity market on El Niño–Southern Oscillation," International Review of Economics & Finance, Elsevier, volume 81, issue C, pages 98-112, DOI: 10.1016/j.iref.2022.05.003.
• Su, Yuandong & Lu, Xinjie & Zeng, Qing & Huang, Dengshi, 2022, "Good air quality and stock market returns," Research in International Business and Finance, Elsevier, volume 62, issue C, DOI: 10.1016/j.ribaf.2022.101723.
• Wang, Ping & Han, Wei & Huang, Chengcheng & Duong, Duy, 2022, "Forecasting realised volatility from search volume and overnight sentiment: Evidence from China," Research in International Business and Finance, Elsevier, volume 62, issue C, DOI: 10.1016/j.ribaf.2022.101734.
• Liang, Chao & Umar, Muhammad & Ma, Feng & Huynh, Toan L.D., 2022, "Climate policy uncertainty and world renewable energy index volatility forecasting," Technological Forecasting and Social Change, Elsevier, volume 182, issue C, DOI: 10.1016/j.techfore.2022.121810.
• Bao H. Nguyen & Bo Zhang, 2022, "Forecasting Oil Prices: Can Large BVARs Help?," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2022-65, Oct.
• Hector F. Calvo-Pardo & Tullio Mancini & Jose Olmo, 2022, "Machine Learning the Carbon Footprint of Bitcoin Mining," JRFM, MDPI, volume 15, issue 2, pages 1-30, February.
• Thomas Conlon & John Cotter & Emmanuel Eyiah-Donkor, 2022, "The illusion of oil return predictability: The choice of data matters!," Post-Print, HAL, number hal-03519860, Jan, DOI: 10.1016/j.jbankfin.2021.106331.
• David Benatia, 2022, "Ring the alarm! Electricity markets, renewables, and the pandemic," Post-Print, HAL, number hal-03523180, Feb, DOI: 10.1016/j.eneco.2021.105755.
• Qu, Chunzi & Bang, Rasmus Noss, 2022, "Energy and Mineral Security in the European Union: Metal Requirements for Renewable and Nuclear Intensive Electricity Mixes," Discussion Papers, Norwegian School of Economics, Department of Business and Management Science, number 2022/14, Dec.
• Paul CALANTER & Daniela ZISU, 2022, "The 2021 Energy Crisis In The Eu And Its Implications On Climate Change Mitigation," Euroinfo, Institute for World Economy, Romanian Academy, volume 6, issue 1, pages 55-67, March.
• Cécile Hediger, 2022, "Rebound effects in residential heating: How much does an extra degree matter?," IRENE Working Papers, IRENE Institute of Economic Research, number 22-05, Sep.
• Nekrasov, S., 2022, "Decrease in differentiation of electric power supply in regions and sustainable development of the Russian economy," Journal of the New Economic Association, New Economic Association, volume 56, issue 4, pages 123-140, DOI: 10.31737/2221-2264-2022-56-4-6.
• Garratt, Anthony & Petrella, Ivan & Zhang, Yunyi, 2022, "Asymmetry and Interdependence when Evaluating U.S. Energy Information Agency Forecasts," National Institute of Economic and Social Research (NIESR) Discussion Papers, National Institute of Economic and Social Research, number 541, Sep.
• Simona-Vasilica Oprea & Adela Bâra, 2022, "Machine Learning Algorithms and PV Forecast for Off-Grid Prosumers Energy Management," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, volume 0, issue 1, pages 117-123, September.
• Simona Vasilica Oprea & Adela Bâra, 2022, "Why Is More Efficient to Combine BeautifulSoup and Selenium in Scraping For Data Under Energy Crisis," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, volume 0, issue 2, pages 146-152, Decembrie.
• Bedetti, Alessandro, 2022, "Il consumo di energia da fonti rinnovabili in Europa dal 2004 al 2019: uno studio basato sulla cluster analysis," MPRA Paper, University Library of Munich, Germany, number 112897, Apr.
• Bakari, Sayef, 2022, "The Impact of Natural resources, CO2 Emission, Energy use, Domestic Investment, Innovation, Trade and Digitalization on Economic growth: Evidence from 52 African Countries," MPRA Paper, University Library of Munich, Germany, number 114323.
• Garratt, Anthony & Petrella, Ivan & Zhang, Yunyi, 2022, "Asymmetry and Interdependence when Evaluating U.S. Energy Information Agency Forecasts," MPRA Paper, University Library of Munich, Germany, number 114325, Aug.
• Garratt, Anthony & Petrella, Ivan & Zhang, Yunyi, 2022, "Asymmetry and Interdependence when Evaluating U.S. Energy Information Administration Forecasts," MPRA Paper, University Library of Munich, Germany, number 115559, Aug.
• Fantazzini, Dean & Kurbatskii, Alexey & Mironenkov, Alexey & Lycheva, Maria, 2022, "Forecasting oil prices with penalized regressions, variance risk premia and Google data," MPRA Paper, University Library of Munich, Germany, number 118239.
• Maria Lycheva & Alexey Mironenkov & Alexey Kurbatskii & Dean Fantazzini, 2022, "Forecasting oil prices with penalized regressions, variance risk premia and Google data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 68, pages 28-49.
• Vladimir S. Osipov & Yuliya G. Lesnikh & Elena L. Pozharskaya & Eugene V. Frank, 2022, "Financial Strategy of Energy Crisis-Management of Regional Economy in Industry 4.0 for Security," Springer Books, Springer, in: Elena B. Zavyalova & Elena G. Popkova, "Industry 4.0", DOI: 10.1007/978-3-030-79496-5_12.
• Riza Demirer & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2022, "Risk aversion and the predictability of crude oil market volatility: A forecasting experiment with random forests," Journal of the Operational Research Society, Taylor & Francis Journals, volume 73, issue 8, pages 1755-1767, August, DOI: 10.1080/01605682.2021.1936668.
• Nguyen, BH & Zhang, Bo, 2022, "Forecasting oil Prices: can large BVARs help?," Working Papers, University of Tasmania, Tasmanian School of Business and Economics, number 2022-04.
• Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2022, "Energy Markets and Global Economic Conditions," The Review of Economics and Statistics, MIT Press, volume 104, issue 4, pages 828-844, October, DOI: 10.1162/rest_a_00977.
• James Archsmith & Erich Muehlegger & David S. Rapson, 2022, "Future Paths of Electric Vehicle Adoption in the United States: Predictable Determinants, Obstacles, and Opportunities," Environmental and Energy Policy and the Economy, University of Chicago Press, volume 3, issue 1, pages 71-110, DOI: 10.1086/717219.
• Justin Caron & Thibault Fally, 2022, "Per Capita Income, Consumption Patterns, and CO2 Emissions," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, volume 9, issue 2, pages 235-271, DOI: 10.1086/716727.
• Tayyab Raza Fraz & Samreen Fatima, 2022, "Modeling And Forecasting Volatility Of Stock Market Using Family Of Garch Models: Evidence From Cpec Linked Countries," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., volume 22, issue 01, pages 1-15, March, DOI: 10.1142/S219456592250004X.

2021

• Adrian-Nicolae Buturache & Stelian Stancu, 2021, "Usage of Neural-Based Predictive Modeling and IIoT in Wind Energy Applications," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, volume 23, issue 57, pages 412-412.
• Arkadiusz Jedrzejewski & Grzegorz Marcjasz & Rafal Weron, 2021, "Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Parameter-rich models estimated via the LASSO," WORking papers in Management Science (WORMS), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, number WORMS/21/04, Mar.
• Weronika Nitka & Tomasz Serafin & Dimitrios Sotiros, 2021, "Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method," WORking papers in Management Science (WORMS), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, number WORMS/21/06, Apr.
• Kin G. Olivares & Cristian Challu & Grzegorz Marcjasz & Rafal Weron & Artur Dubrawski, 2021, "Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx," WORking papers in Management Science (WORMS), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, number WORMS/21/07, Apr.
• Jesus Lago & Grzegorz Marcjasz & Bart De Schutter & Rafal Weron, 2021, "Erratum to 'Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark' [Appl. Energy 293 (2021) 116983]," WORking papers in Management Science (WORMS), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, number WORMS/21/12, Jul.
• Mengting Jiang & Dongmin Kong, 2021, "The Impact of International Crude Oil Prices on Energy Stock Prices - Evidence From China," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, volume 2, issue 4, pages 1-4, DOI: 2021/10/28.
• Johannes Emmerling & Enrica De Cian & Maurizio Malpede, 2021, "Energy intensity convergence and its long-run minimum," GREEN Working Papers, GREEN, Centre for Research on Geography, Resources, Environment, Energy & Networks, Universita' Bocconi, Milano, Italy, number 13.
• Maurizio Malpede & Marco Percoco, 2021, "By 2079, Aridification Will Have Reduced the GDPs of Africa and Asia by 16% and 6.3%, respectively," GREEN Working Papers, GREEN, Centre for Research on Geography, Resources, Environment, Energy & Networks, Universita' Bocconi, Milano, Italy, number 14.
• Knut Are Aastveit & Jamie L. Cross & Herman K. van Dijk, 2021, "Quantifying time-varying forecast uncertainty and risk for the real price of oil," Working Paper, Norges Bank, number 2021/3, Jun.
• Knut Are Aastveit & Jamie Cross & Herman K. Djik, 2021, "Quantifying time-varying forecast uncertainty and risk for the real price of oil," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 03/2021, Jun.
• Guo, B. & Newbery, D., 2021, "The cost of uncoupling GB interconnectors," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2118, Mar.
• Lionel Fontagné & Erica Perego & Gianluca Santoni, 2021, "Horizon 2050 : où la dynamique actuelle mène-t-elle l’économie mondiale ?," La Lettre du CEPII, CEPII research center, issue 421.
• Shenghao Feng & Keyu Zhang & Xiujian Peng, 2021, "Elasticity of Substitution Between Electricity and Non-Electric Energy in the Context of Carbon Neutrality in China," Centre of Policy Studies/IMPACT Centre Working Papers, Victoria University, Centre of Policy Studies/IMPACT Centre, number g-323, Oct.
• Calvo Pardo, Héctor & Olmo, Jose & Mancini, Tullio, 2021, "Machine Learning the Carbon Footprint of Bitcoin Mining," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 16267, Jun.
• Raúl Gutiérrez-Meave & Juan Rosellón & Luis Sarmiento, 2021, "The Effect of Changing Marginal-Cost to Physical-Order Dispatch in the Power Sector," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 1955.
• Philip Beran & Arne Vogler, 2021, "Multi-Day-Ahead Electricity Price Forecasting: A Comparison of fundamental, econometric and hybrid Models," EWL Working Papers, University of Duisburg-Essen, Chair for Management Science and Energy Economics, number 2102, Oct, revised Oct 2021.
• Samrena Jabeen & Subha Malik & Soha Khan & Nohman Khan & Muhammad Imran Qureshi & Mohd Shamsuri Md Saad, 2021, "A Comparative Systematic Literature Review and Bibliometric Analysis on Sustainability of Renewable Energy Sources," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 1, pages 270-280.
• Valeriy V. Iosifov & Pavel D. Ratner, 2021, "Climate Policies of G20 and New Threats for Russian Energy and Transportation Complex," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 1, pages 478-486.
• Ernie Hendrawaty & Rialdi Azhar & Fajrin Satria Dwi Kesumah & Sari Indah Oktanti Sembiring & Mega Metalia, 2021, "Modelling and Forecasting Crude Oil Prices during COVID-19 Pandemic," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 2, pages 149-154.
• Mohammad Nure Alam, 2021, "Accessing the Effect of Renewables on the Wholesale Power Market," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 2, pages 341-360.
• Pavel Baboshkin & Mafura Uandykova, 2021, "Multi-source Model of Heterogeneous Data Analysis for Oil Price Forecasting," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 2, pages 384-391.
• Santiago Gall n & Jorge Barrientos, 2021, "Forecasting the Colombian Electricity Spot Price under a Functional Approach," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 2, pages 67-74.
• Chuke Nwude & Damilola Felix Eluyela & Elias Igwebuike Agbo & Francis O Iyoha, 2021, "The Influence of Oil Price Fluctuations on Stock Market of Developing Economies: A Focus on Nigeria," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 3, pages 100-109.
• Suripto & Supriyanto, 2021, "The Effect of the COVID-19 Pandemic on Stock Prices with the Event Window Approach: A Case Study of State Gas Companies, in the Energy Sector," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 3, pages 155-162.
• Eka Sudarmaji & Noer Azam Achsani & Yandra Arkeman & Idqan Fahmi, 2021, "Can Energy Intensity Impede the CO2 Emissions in Indonesia? LMDI-Decomposition Index and ARDL: Comparison between Indonesia and ASEAN Countries," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 3, pages 308-318.
• Hlalefang Khobai & Sanderson Abel & Pierre Le Roux, 2021, "A Review of the Nexus between Energy Consumption and Economic Growth in the BRICS Countries," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 3, pages 424-431.
• Sameh Asim Ajlouni & Moh'd Taleb Alodat, 2021, "Gaussian Process Regression for Forecasting Gasoline Prices in Jordan," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 3, pages 502-509.
• Ricardo Moreno & Cristian Hoyos & Sergio Cantillo, 2021, "A Framework from Peer-to-Peer Electricity Trading Based on Communities Transactions," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 3, pages 537-545.
• Pedro Moreno Alonso & Antonio Mu oz San Roque, 2021, "Oil Costs and Prices: An Empirical Causality Analysis," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 3, pages 546-554.
• Hlalefang Khobai, 2021, "Renewable Energy Consumption and Economic Growth in Argentina: A Multivariate Co-integration Analysis," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 3, pages 563-570.
• Maher AbuBaker, 2021, "Household Electricity Load Forecasting Toward Demand Response Program Using Data Mining Techniques in A Traditional Power Grid," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 4, pages 132-148.
• Chaido Dritsaki & Dimitrios Niklis & Pavlos Stamatiou, 2021, "Oil Consumption Forecasting using ARIMA Models: An Empirical Study for Greece," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 4, pages 214-224.
• Supriyanto Supriyanto & Suripto Suripto & Arif Sugiono & Putri Irmala Sari, 2021, "Impact of Oil Prices and Stock Returns: Evidence of Oil and Gas Mining Companies in Indonesia during the COVID-19 Period," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 4, pages 312-318.
• Pruethsan Sutthichaimethee & Harlida Abdul Wahab, 2021, "A Forecasting Model in Managing Future Scenarios to Achieve the Sustainable Development Goals of Thailand s Environmental Law: Enriching the Path Analysis-VARIMA-OVi Model," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 4, pages 398-411.
• Lorenc Malka & Elena Bebi & Majlinda Alcani & Ilirian Konomi & Pietro Bartocci & Evis Berberi & Matilda Shehu(Tola) & Ardit Gjeta & Ermonela Rrapaj, 2021, "The Future Strategies of the Wind Power Development in Albania: Case Study: Qafe Thane, Pogradec, Albania," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 4, pages 486-503.
• Andr s Oviedo-G mez & Sandra Milena Londo o-Hern ndez & Diego Fernando Manotas-Duque, 2021, "Electricity Price Fundamentals in Hydrothermal Power Generation Markets Using Machine Learning and Quantile Regression Analysis," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 5, pages 66-77.
• John William Grimaldo-Guerrero & Jorge Ivan Silva-Ortega & John E. Candelo-Becerra & Bernardo Balceiro-Alvarez & Omar Cabrera-Anaya, 2021, "The Behavior of the Annual Electricity Demand and the Role of Economic Growth in Colombia," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 5, pages 8-12.
• Sri Utami Ady, 2021, "The Effect of World Oil Prices, Gold Prices, and Other Energy Prices on the Indonesian Mining Sector with Exchange Rate of Indonesian Rupiah as the Moderating Effect," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 5, pages 369-376.
• Hlalefang Khobai, 2021, "Renewable Energy Consumption, Poverty Alleviation and Economic Growth Nexus in South Africa: ARDL Bounds Test Approach," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 5, pages 450-459.
• Pruethsan Sutthichaimethee & Danupon Ariyasajjakorn, 2021, "The Management Efficiency of the Sustainable Development Policy under Thailand s Energy Law: Enriching the SEM-based on the ARIMAXi model," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 5, pages 472-482.
• Nguyen Dat Minh & Duong Trung Kien, 2021, "Assessment of the Impact of Managing Large Energy-Using Users on National Energy Efficiency of Vietnam," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 5, pages 519-530.
• Mohammad Benny Alexandri & Supriyanto, 2021, "The Influence of Oil Price Volatility and Price Limit in Indonesia Energy Sub-Sector for the Period Before and After Covid-19," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 5, pages 538-544.
• Pruethsan Sutthichaimethee & Danupon Ariyasajjakorn & Apinyar Chatchorfa & Boonton Dockthaisong & Sthianrapab Naluang & Sirapatsorn Wongthongdee & Nachatchaya Thongjan, 2021, "Indicators of Environmental and Economic Problems Priority Arising from Energy Use in Food Manufacturing Sector in Realizing Sustainable Development Policy under Thai Environmental Law Framework," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 5, pages 600-608.
• Saring Suhendro & Mega Matalia & Sari Indah Oktanti Sembiring, 2021, "Public Sector Policy of Estimating Model for Renewable Energy," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 5, pages 609-613.
• Supriyanto Supriyanto & Mohammad Benny Alexandri & Nenden Kostini & Ratna Meisa Dai, 2021, "Impact of Oil Prices and Stock Returns: Evidence of Oil and Gas Mining Companies in Indonesia During the Covid-19 Period," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 6, pages 471-478.
• Truong Huy Hoang & Duong Trung Kien & Nguyen Dat Minh, 2021, "Development of Energy Efficiency Action Plan at Provincial Level of Vietnam," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 6, pages 60-67.
• Lucey, Brian & Ren, Boru, 2021, "Does news tone help forecast oil?," Economic Modelling, Elsevier, volume 104, issue C, DOI: 10.1016/j.econmod.2021.105635.
• Wen, Danyan & Wang, Yudong & Zhang, Yaojie, 2021, "Intraday return predictability in China’s crude oil futures market: New evidence from a unique trading mechanism," Economic Modelling, Elsevier, volume 96, issue C, pages 209-219, DOI: 10.1016/j.econmod.2021.01.005.
• Lee, Jonathan M. & Howard, Gregory, 2021, "The impact of technical efficiency, innovation, and climate policy on the economic viability of renewable electricity generation," Energy Economics, Elsevier, volume 100, issue C, DOI: 10.1016/j.eneco.2021.105357.
• Antweiler, Werner, 2021, "Microeconomic models of electricity storage: Price Forecasting, arbitrage limits, curtailment insurance, and transmission line utilization," Energy Economics, Elsevier, volume 101, issue C, DOI: 10.1016/j.eneco.2021.105390.
• Patra, Saswat, 2021, "Revisiting value-at-risk and expected shortfall in oil markets under structural breaks: The role of fat-tailed distributions," Energy Economics, Elsevier, volume 101, issue C, DOI: 10.1016/j.eneco.2021.105452.
• Wang, Hanjie & Maruejols, Lucie & Yu, Xiaohua, 2021, "Predicting energy poverty with combinations of remote-sensing and socioeconomic survey data in India: Evidence from machine learning," Energy Economics, Elsevier, volume 102, issue C, DOI: 10.1016/j.eneco.2021.105510.
• Özen, Kadir & Yıldırım, Dilem, 2021, "Application of bagging in day-ahead electricity price forecasting and factor augmentation," Energy Economics, Elsevier, volume 103, issue C, DOI: 10.1016/j.eneco.2021.105573.
• Ding, Ashley, 2021, "A state-preference volatility index for the natural gas market," Energy Economics, Elsevier, volume 104, issue C, DOI: 10.1016/j.eneco.2021.105625.
• Nonejad, Nima, 2021, "Predicting the return on the spot price of crude oil out-of-sample by conditioning on news-based uncertainty measures: Some new empirical results," Energy Economics, Elsevier, volume 104, issue C, DOI: 10.1016/j.eneco.2021.105635.
• Schauf, Magnus & Schwenen, Sebastian, 2021, "Mills of progress grind slowly? Estimating learning rates for onshore wind energy," Energy Economics, Elsevier, volume 104, issue C, DOI: 10.1016/j.eneco.2021.105642.
• Alizadeh, Amir H. & Huang, Chih-Yueh & Marsh, Ian W., 2021, "Modelling the volatility of TOCOM energy futures: A regime switching realised volatility approach," Energy Economics, Elsevier, volume 93, issue C, DOI: 10.1016/j.eneco.2019.06.019.
• Baum, Christopher F. & Zerilli, Paola & Chen, Liyuan, 2021, "Stochastic volatility, jumps and leverage in energy and stock markets: Evidence from high frequency data," Energy Economics, Elsevier, volume 93, issue C, DOI: 10.1016/j.eneco.2019.104481.
• van Koten, Silvester, 2021, "The forward premium in electricity markets: An experimental study," Energy Economics, Elsevier, volume 94, issue C, DOI: 10.1016/j.eneco.2020.105059.
• Shirizadeh, Behrang & Quirion, Philippe, 2021, "Low-carbon options for the French power sector: What role for renewables, nuclear energy and carbon capture and storage?," Energy Economics, Elsevier, volume 95, issue C, DOI: 10.1016/j.eneco.2020.105004.
• Uniejewski, Bartosz & Weron, Rafał, 2021, "Regularized quantile regression averaging for probabilistic electricity price forecasting," Energy Economics, Elsevier, volume 95, issue C, DOI: 10.1016/j.eneco.2021.105121.
• Bennedsen, Mikkel & Hillebrand, Eric & Koopman, Siem Jan, 2021, "Modeling, forecasting, and nowcasting U.S. CO2 emissions using many macroeconomic predictors," Energy Economics, Elsevier, volume 96, issue C, DOI: 10.1016/j.eneco.2021.105118.
• Smith, L. Vanessa & Tarui, Nori & Yamagata, Takashi, 2021, "Assessing the impact of COVID-19 on global fossil fuel consumption and CO2 emissions," Energy Economics, Elsevier, volume 97, issue C, DOI: 10.1016/j.eneco.2021.105170.
• Kramer, Anke & Kiesel, Rüdiger, 2021, "Exogenous factors for order arrivals on the intraday electricity market," Energy Economics, Elsevier, volume 97, issue C, DOI: 10.1016/j.eneco.2021.105186.
• He, Mengxi & Zhang, Yaojie & Wen, Danyan & Wang, Yudong, 2021, "Forecasting crude oil prices: A scaled PCA approach," Energy Economics, Elsevier, volume 97, issue C, DOI: 10.1016/j.eneco.2021.105189.
• Afkhami, Mohamad & Ghoddusi, Hamed & Rafizadeh, Nima, 2021, "Google Search Explains Your Gasoline Consumption!," Energy Economics, Elsevier, volume 99, issue C, DOI: 10.1016/j.eneco.2021.105305.
• Wen, Jun & Zhao, Xin-Xin & Chang, Chun-Ping, 2021, "The impact of extreme events on energy price risk," Energy Economics, Elsevier, volume 99, issue C, DOI: 10.1016/j.eneco.2021.105308.
• Valickova, Petra & Elms, Nicholas, 2021, "The costs of providing access to electricity in selected countries in Sub-Saharan Africa and policy implications," Energy Policy, Elsevier, volume 148, issue PA, DOI: 10.1016/j.enpol.2020.111935.
• Hauenstein, Christian & Holz, Franziska, 2021, "The U.S. coal sector between shale gas and renewables: Last resort coal exports?," Energy Policy, Elsevier, volume 149, issue C, DOI: 10.1016/j.enpol.2020.112097.
• Ahmed Qahtan, Anwar Saeed & Xu, Helian & Abdo, AL-Barakani, 2021, "Stochastic convergence of disaggregated energy consumption per capita and its catch-up rate: An independent analysis of MENA net oil-exporting and importing countries," Energy Policy, Elsevier, volume 150, issue C, DOI: 10.1016/j.enpol.2021.112151.
• Harker Steele, Amanda J. & Burnett, J. Wesley & Bergstrom, John C., 2021, "The impact of variable renewable energy resources on power system reliability," Energy Policy, Elsevier, volume 151, issue C, DOI: 10.1016/j.enpol.2020.111947.
• Guo, Bowei & Newbery, David, 2021, "The cost of uncoupling GB interconnectors," Energy Policy, Elsevier, volume 158, issue C, DOI: 10.1016/j.enpol.2021.112569.
• Lee, Chien-Chiang & Ranjbar, Omid & Lee, Chi-Chuan, 2021, "Testing the persistence of shocks on renewable energy consumption: Evidence from a quantile unit-root test with smooth breaks," Energy, Elsevier, volume 215, issue PB, DOI: 10.1016/j.energy.2020.119190.
• Huang, Zhuo & Liang, Fang & Wang, Tianyi & Li, Chao, 2021, "Modeling dynamic higher moments of crude oil futures," Finance Research Letters, Elsevier, volume 39, issue C, DOI: 10.1016/j.frl.2020.101570.
• Chatziantoniou, Ioannis & Degiannakis, Stavros & Delis, Panagiotis & Filis, George, 2021, "Forecasting oil price volatility using spillover effects from uncertainty indices," Finance Research Letters, Elsevier, volume 42, issue C, DOI: 10.1016/j.frl.2020.101885.
• Rubaszek, Michał, 2021, "Forecasting crude oil prices with DSGE models," International Journal of Forecasting, Elsevier, volume 37, issue 2, pages 531-546, DOI: 10.1016/j.ijforecast.2020.07.004.
• Stoupos, Nikolaos & Kiohos, Apostolos, 2021, "Energy commodities and advanced stock markets: A post-crisis approach," Resources Policy, Elsevier, volume 70, issue C, DOI: 10.1016/j.resourpol.2020.101887.
• Cai, Zhengyu & Yu, Chin-Hsien & Zhu, Chunhui, 2021, "Government-led urbanization and natural gas demand in China," Renewable and Sustainable Energy Reviews, Elsevier, volume 147, issue C, DOI: 10.1016/j.rser.2021.111231.
• Capitán, Tabaré & Alpízar, Francisco & Madrigal-Ballestero, Róger & Pattanayak, Subhrendu K., 2021, "Time-varying pricing may increase total electricity consumption: Evidence from Costa Rica," Resource and Energy Economics, Elsevier, volume 66, issue C, DOI: 10.1016/j.reseneeco.2021.101264.
• Atukeren, Erdal & Çevik, Emrah İsmail & Korkmaz, Turhan, 2021, "Volatility spillovers between WTI and Brent spot crude oil prices: an analysis of granger causality in variance patterns over time," Research in International Business and Finance, Elsevier, volume 56, issue C, DOI: 10.1016/j.ribaf.2021.101385.
• Younes Gholizadeh, 2021, "Causality Relationship between Energy Consumption and Economic Growth in the European Union Countries," Journal of Economics and Econometrics, Economics and Econometrics Society, volume 64, issue 2, pages 64-85.
• Dina Gabbori & Basel Awartani & Aktham I. Maghyereh & Nader Virk, 2021, "Are herding transmissions in the gulf cooperation council stock markets regional or international?," Review of Behavioral Finance, Emerald Group Publishing Limited, volume 14, issue 5, pages 588-611, March, DOI: 10.1108/RBF-06-2020-0137.
• Bowei Guo & David Newbery, 2021, "The cost of uncoupling GB interconnectors," Working Papers, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge, number EPRG2102, Mar.
• Potashnikov Vladimir & Golub Alexander & Shorin Dmitry, 2021, "Impact of Solar and Wind Energy in the EU Countries on the Long-Term Prospects of Russian Hydrocarbon Exports
  [Влияние Солнечной И Ветровой Энергетики Стран Ес На Долгосрочные Перспективы Российского Углеводородного Экспорта]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 12, pages 12-22, December.
• Potashnikov Vladimir & Golub Alexander & Shorin Dmitry, 2021, "Влияние Солнечной И Ветровой Энергетики Стран Ес На Долгосрочные Перспективы Российского Углеводородного Экспорта," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 12, pages 12-22, December.
• Arkadiusz Jędrzejewski & Grzegorz Marcjasz & Rafał Weron, 2021, "Importance of the Long-Term Seasonal Component in Day-Ahead Electricity Price Forecasting Revisited: Parameter-Rich Models Estimated via the LASSO," Energies, MDPI, volume 14, issue 11, pages 1-17, June.
• Lionel Fontagné & Erica Perego & Gianluca Santoni, 2021, "Horizon 2050 : où la dynamique actuelle mène-t-elle l'économie mondiale ?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number hal-03436070, Nov.
• Lionel Fontagné & Erica Perego & Gianluca Santoni, 2021, "Horizon 2050 : où la dynamique actuelle mène-t-elle l'économie mondiale ?," Post-Print, HAL, number hal-03436070, Nov.
• Behrang Shirizadeh & Philippe Quirion, 2021, "Low-carbon options for the French power sector: What role for renewables, nuclear energy and carbon capture and storage?," Post-Print, HAL, number hal-03508233, DOI: 10.1016/j.eneco.2020.105004.
• STANKUNIENE Gintare, 2021, "Energy Saving in Households: A Systematic Literature Review," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 01, March.
• Elie Bouri & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2021, "Forecasting Realized Volatility of Bitcoin: The Role of the Trade War," Computational Economics, Springer;Society for Computational Economics, volume 57, issue 1, pages 29-53, January, DOI: 10.1007/s10614-020-10022-4.
• Julien Chevallier & Bangzhu Zhu & Lyuyuan Zhang, 2021, "Forecasting Inflection Points: Hybrid Methods with Multiscale Machine Learning Algorithms," Computational Economics, Springer;Society for Computational Economics, volume 57, issue 2, pages 537-575, February, DOI: 10.1007/s10614-019-09966-z.
• Erik Heilmann & Janosch Henze & Heike Wetzel, 2021, "Machine learning in energy forecasts with an application to high frequency electricity consumption data," MAGKS Papers on Economics, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung), number 202135.
• Erik Heilmann, 2021, "The impact of transparency policies on local flexibility markets in electrical distribution networks: A case study with artificial neural network forecasts," MAGKS Papers on Economics, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung), number 202141.
• Afees A. Salisu & Rangan Gupta, 2021, "How Do Housing Returns in Emerging Countries Respond to Oil Shocks? A MIDAS Touch," Emerging Markets Finance and Trade, Taylor & Francis Journals, volume 57, issue 15, pages 4286-4311, December, DOI: 10.1080/1540496X.2020.1807322.
• Kadir Özen & Dilem Yıldırım, 2021, "Application of Bagging in Day-Ahead Electricity Price Forecasting and Factor Augmentation," ERC Working Papers, ERC - Economic Research Center, Middle East Technical University, number 2101, Apr, revised Apr 2021.
• Zuzanna Karolak, 2021, "Energy prices forecasting using nonlinear univariate models," Bank i Kredyt, Narodowy Bank Polski, volume 52, issue 6, pages 577-598.
• James Archsmith & Erich Muehlegger & David S. Rapson, 2021, "Future Paths of Electric Vehicle Adoption in the United States: Predictable Determinants, Obstacles, and Opportunities," NBER Chapters, National Bureau of Economic Research, Inc, "Environmental and Energy Policy and the Economy, volume 3".
• James E. Archsmith & Erich Muehlegger & David S. Rapson, 2021, "Future Paths of Electric Vehicle Adoption in the United States: Predictable Determinants, Obstacles and Opportunities," NBER Working Papers, National Bureau of Economic Research, Inc, number 28933, Jun.
• Charles W. Calomiris & Nida Çakır Melek & Harry Mamaysky, 2021, "Predicting the Oil Market," NBER Working Papers, National Bureau of Economic Research, Inc, number 29379, Oct.
• Osama Mostafa Atout, 2021, "Fulfilling of nuclear safeguards requirements for nuclear facilities at the nuclear materials authority and its role in completing the nuclear infrastructure in Egypt," Technology audit and production reserves, Socionet;Technology audit and production reserves, volume 5, issue 4(61), pages 25-34.
• Diana-Mihaela Jula, 2021, "Impact of the COVID-19 Pandemic on the Romanian Electricity Consumption," Global Economic Observer, "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences;Institute for World Economy of the Romanian Academy, volume 9, issue 1, pages 166-179, June.
• Muhammad Irfan & Michael P Cameron & Gazi Hassan, 2021, "Interventions to mitigate indoor air pollution: A cost-benefit analysis," PLOS ONE, Public Library of Science, volume 16, issue 9, pages 1-17, September, DOI: 10.1371/journal.pone.0257543.
• Pincheira, Pablo & Hardy, Nicolas, 2021, "The Mean Squared Prediction Error Paradox," MPRA Paper, University Library of Munich, Germany, number 107403, Apr.
• Olubusoye, Olusanya E & Yaya, OlaOluwa S. & Ogbonna, Ahamuefula, 2021, "An Information-Based Index of Uncertainty and the predictability of Energy Prices," MPRA Paper, University Library of Munich, Germany, number 109839, Feb.
• Delis, Panagiotis & Degiannakis, Stavros & Giannopoulos, Kostantinos, 2021, "What should be taken into consideration when forecasting oil implied volatility index?," MPRA Paper, University Library of Munich, Germany, number 110831, Nov.
• Yaya, OlaOluwa S. & Vo, Xuan Vinh, 2021, "Testing day-of-the-week persistence and seasonality in Spanish Electricity Energy prices," MPRA Paper, University Library of Munich, Germany, number 112652, Dec, revised 03 Apr 2022.
• Yaya, OlaOluwa S & Akano, Rafiu O & Adekoya, Oluwasegun B., 2021, "Market efficiency and Volatility persistence of green investments before and during COVID-19 pandemic," MPRA Paper, University Library of Munich, Germany, number 113706, Dec.
• Gutiérrez-Meave, Raúl & Rosellón, Juan & Sarmiento, Luis, 2021, "The Effect of Changing Marginal-Cost to Physical-Order Dispatch in the Power Sector," RFF Working Paper Series, Resources for the Future, number 21-19, Jul.
• Bogdan Potanin & Juri Trifonov, 2021, "The influence of investors’ expectations on oil prices," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 63, pages 76-90.
• Reinhard Madlener & Siamak Sheykkha & Wolfgang Briglauer, 2021, "The Electricity- and CO2-Saving Potentials Offered by Regulation of European Video-Streaming Services," FCN Working Papers, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), number 5/2021, May.
• Ali Reza Barzi & Gholam Reza Hashemzadeh KHoorasgani & Kiamars Fathi Hafshejani & Aboutorab Ali Rezaee, 2021, "Analysis and Evaluation of the Economic Model of Micro-Photovoltaic Microgrid Connected to Iran's Electricity Distribution Network," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, volume 7, issue 4, pages 219-250.
• George Varghese & Vinodh Madhavan, 2021, "Nonlinearity in Global Crude Oil Benchmarks: Disentangling the Effect of Time Aggregation," Journal of Emerging Market Finance, Institute for Financial Management and Research, volume 20, issue 3, pages 290-307, December, DOI: 10.1177/09726527211043013.
• Alexander Ryota Keeley & Ken’ichi Matsumoto & Kenta Tanaka & Yogi Sugiawan & Shunsuke Managi, 2021, "The Impact of Renewable Energy Generation on the Spot Market Price in Germany: Ex-Post Analysis using Boosting Method," The Energy Journal, , volume 42, issue 1_suppl, pages 1-22, June, DOI: 10.5547/01956574.42.S12.akee.
• Stefanie Meilinger & Anna Herman-Czezuch & Nicola Kimiaie & Christopher Schirrmeister & Rone Yousif & Stefan Geiss & Leonhard Scheck & Martin Weissmann & Felix Gödde & Bernhard Mayer & Tobias Zinner &, 2021, "Development of innovative satellite-based methods for improved PV yield prediction on different time scales for distribution grid level applications (MetPVNet)," IZNE Working Paper Series, International Centre for Sustainable Development (IZNE), Bonn-Rhein-Sieg University of Applied Sciences, number 21/4, Dec, DOI: 10.18418/978-3-96043-094-0.
• F. Benedetto & L. Mastroeni & P. Vellucci, 2021, "Modeling the flow of information between financial time-series by an entropy-based approach," Annals of Operations Research, Springer, volume 299, issue 1, pages 1235-1252, April, DOI: 10.1007/s10479-019-03319-7.
• Roberto Ivo da Rocha Lima Filho & Thereza Cristina Nogueira de Aquino & Adriano Marçal Nogueira Neto, 2021, "Fuel price control in Brazil: environmental impacts," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, volume 23, issue 7, pages 9811-9826, July, DOI: 10.1007/s10668-020-00896-7.
• Guilherme Lindenmeyer & Pedro Pablo Skorin & Hudson da Silva Torrent, 2021, "Using boosting for forecasting electric energy consumption during a recession: a case study for the Brazilian State Rio Grande do Sul," Letters in Spatial and Resource Sciences, Springer, volume 14, issue 2, pages 111-128, August, DOI: 10.1007/s12076-021-00268-3.
• Knut Are Aastveit & Jamie Cross & Herman K. van Dijk, 2021, "Quantifying time-varying forecast uncertainty and risk for the real price of oil," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 21-053/III, Jun.
• Reinhard Ellwanger, Stephen Snudden, 2021, "Predictability of Aggregated Time Series," LCERPA Working Papers, Laurier Centre for Economic Research and Policy Analysis, number bm0127.
• Hauenstein, Christian & Holz, Franziska, 2021, "The U.S. coal sector between shale gas and renewables: Last resort coal exports?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, volume 149, DOI: 10.1016/j.enpol.2020.112097.
• Schönheit, David & Bruninx, Kenneth & Kenis, Michiel & Möst, Dominik, 2021, "Improved selection of critical network elements for flow-based market coupling based on congestion patterns," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 233467.
• Cai, Zhengyu & Yu, Chin-Hsien & Zhu, Chunhui, 2021, "Government-Led Urbanization and Natural Gas Demand in China," GLO Discussion Paper Series, Global Labor Organization (GLO), number 798.
• Luo, Jiawen & Klein, Tony & Walther, Thomas & Ji, Qiang, 2021, "Forecasting Realized Volatility of Crude Oil Futures Prices based on Machine Learning," QBS Working Paper Series, Queen's University Belfast, Queen's Business School, number 2021/04, DOI: 10.2139/ssrn.3701000.
• Caporina, Massimiliano & Costola, Michele, 2021, "Time-varying granger causality tests for applications in global crude oil markets: A study on the DCC-MGARCH Hong test," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 324, DOI: 10.2139/ssrn.3941778.

2020

• Javier Aliaga Lordemann & Alejandra Terán Orsini, 2020, "Vehicle fleets path and non-linear ownership elasticity for Bolivia, 2000-2035," Development Research Working Paper Series, Institute for Advanced Development Studies, number 04/2020, Sep.
• Grzegorz Marcjasz & Bartosz Uniejewski & Rafal Weron, 2020, "Beating the naive: Combining LASSO with naive intraday electricity price forecasts," WORking papers in Management Science (WORMS), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, number WORMS/20/01, Feb.
• Katarzyna Maciejowska & Bartosz Uniejewski & Tomasz Serafin, 2020, "PCA forecast averaging - predicting day-ahead and intraday electricity prices," WORking papers in Management Science (WORMS), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, number WORMS/20/02, Feb.
• Tao Hong & Pierre Pinson & Yi Wang & Rafal Weron & Dazhi Yang & Hamidreza Zareipour, 2020, "Energy forecasting: A review and outlook," WORking papers in Management Science (WORMS), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, number WORMS/20/08, May.
• Tomasz Serafin & Grzegorz Marcjasz & Rafal Weron, 2020, "Trading on short-term path forecasts of intraday electricity prices," WORking papers in Management Science (WORMS), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, number WORMS/20/17, Dec.
• Alexey A. Makarov & Tatyana A. Mitrova & Vyacheslav A. Kulagin, 2020, "Long-term development of the global energy sector under the influence of energy policies and technological progress," Russian Journal of Economics, ARPHA Platform, volume 6, issue 4, pages 347-357, December, DOI: 10.32609/j.ruje.6.55196.
• Vyatcheslav A. Kulagin & Dmitry A. Grushevenko & Nikita O. Kapustin, 2020, "Fossil fuels markets in the "energy transition" era," Russian Journal of Economics, ARPHA Platform, volume 6, issue 4, pages 424-436, December, DOI: 10.32609/j.ruje.6.55177.
• Claudia Foroni & Francesco Ravazzolo & Luca Rossini, 2020, "Are low frequency macroeconomic variables important for high frequency electricity prices?," Papers, arXiv.org, number 2007.13566, Jul, revised Dec 2022.
• Amor Aniss Benmoussa & Reinhard Ellwanger & Stephen Snudden, 2020, "The New Benchmark for Forecasts of the Real Price of Crude Oil," Staff Working Papers, Bank of Canada, number 20-39, Sep, DOI: 10.34989/swp-2020-39.
• Rubaszek Michal & Karolak Zuzanna & Kwas Marek & Uddin Gazi Salah, 2020, "The role of the threshold effect for the dynamics of futures and spot prices of energy commodities," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 24, issue 5, pages 1-20, December, DOI: 10.1515/snde-2019-0068.
• Filippo Del Grosso, 2020, "One Year of I-SEM: Preliminary Assessment of Capacity Mechanism Outcomes," BEMPS - Bozen Economics & Management Paper Series, Faculty of Economics and Management at the Free University of Bozen, number BEMPS73, Oct.
• Ron Gecan, 2020, "CBO's Oil Price Forecasting Record: Working Paper 2020-03," Working Papers, Congressional Budget Office, number 56356, May.
• Silvester Van Koten, 2020, "The Forward Premium in Electricity Markets: An Experimental Study," CERGE-EI Working Papers, The Center for Economic Research and Graduate Education - Economics Institute, Prague, number wp656, May.
• Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020, "Energy Markets and Global Economic Conditions," CESifo Working Paper Series, CESifo, number 8282.
• Intini, Mario & Waterson, Michael, 2020, "Do British wind generators behave strategically in response to the Western Link interconnector?," CAGE Online Working Paper Series, Competitive Advantage in the Global Economy (CAGE), number 455.
• Baumeister, Christiane & Korobilis, Dimitris & Lee, Thomas K., 2020, "Energy Markets and Global Economic Conditions," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14580, Apr.
• Stéphane AURAY & Vincent CAPONI, 2020, "A Vector Autoregressive Model of Forecast Electricity Consumption in France," Working Papers, Center for Research in Economics and Statistics, number 2020-06, Feb.
• David BENATIA, 2020, "Reaching New Lows? The Pandemic's Consequences for Electricity Markets," Working Papers, Center for Research in Economics and Statistics, number 2020-12, Jun.
• David BENATIA, 2020, "Ring the Alarm! Electricity Markets, Renewables, and the Pandemic," Working Papers, Center for Research in Economics and Statistics, number 2020-22, Sep, revised 09 Nov 2020.
• Christian Hauenstein & Franziska Holz, 2020, "The U.S. Coal Sector between Shale Gas and Renewables: Last Resort Coal Exports?," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 1880.
• L. Vanessa Smith & Nori Tarui & Takashi Yamagata, 2020, "Assessing the impact of COVID-19 on global fossil fuel consumption and CO2 emissions," ISER Discussion Paper, Institute of Social and Economic Research, The University of Osaka, number 1093, Jun.
• Ekpobodo Raymond Ovwigho & Yuri Chepurko & Oleg Y. Kazenkov & Dmitrii N. Ermakov & Sinivie Progress Onini & Bashir Aliyu Yauri, 2020, "Renewable Energy in Sustainable Electricity and Economic Development: The Case of Nigeria," International Journal of Energy Economics and Policy, Econjournals, volume 10, issue 1, pages 165-169.
• Oksana A. Kravchenko, 2020, "Principles of Strategy Formation and Tools for the Analysis and Forecasting of Work of Organizations Engaged in Energy Sales Activities," International Journal of Energy Economics and Policy, Econjournals, volume 10, issue 1, pages 208-214.
• Valery F. Anisimov & Yuri V. Truntsevsky & Valery V. Bessel & Saltanat Yessetova, 2020, "Prospects of Development of the Oil Industry in the Global Economy and in the Regional Economies," International Journal of Energy Economics and Policy, Econjournals, volume 10, issue 1, pages 265-279.
• Svetlana V. Ratner & Evgenii Yu. Khrustalev & Sergey N. Larin & Oleg E. Khrustalev, 2020, "Does the Development of Renewable Energy and Smart Grids Pose Risks for Russian Gas Projects? Scenario Forecast for Partner Countries," International Journal of Energy Economics and Policy, Econjournals, volume 10, issue 1, pages 286-293.
• Rialdi Azhar & Fajrin Satria Dwi Kesumah & Ambya Ambya & Febryan Kusuma Wisnu & Edwin Russel, 2020, "Application of Short-term Forecasting Models for Energy Entity Stock Price (Study on Indika Energi Tbk, JII)," International Journal of Energy Economics and Policy, Econjournals, volume 10, issue 1, pages 294-301.
• Warsono Warsono & Edwin Russel & Almira Rizka Putri & Wamiliana Wamiliana & Widiarti Widiarti & Mustofa Usman, 2020, "Dynamic Modeling Using Vector Error-correction Model: Studying the Relationship among Data Share Price of Energy PGAS Malaysia, AKRA, Indonesia, and PTT PCL-Thailand," International Journal of Energy Economics and Policy, Econjournals, volume 10, issue 2, pages 360-373.