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Volkan Ediger

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Reinhard Madlener & Gürkan Kumbaroglu & Volkan S. Ediger, 2004. "Modeling Technology Adoption as an Irreversible Investment Under Uncertainty: The Case of the Turkish Electricity Supply Industry," CEPE Working paper series 04-30, CEPE Center for Energy Policy and Economics, ETH Zurich.

    Cited by:

    1. Hervé-Mignucci, Morgan, 2011. "Rôle du signal prix du carbone sur les décisions d'investissement des entreprises," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/8200 edited by Keppler, Jan Horst.
    2. Zhu, Ying & Yan, Xiaxia & Chen, Cong & Li, Yongping & Huang, Guohe & Li, Yexin, 2019. "Analysis of industry-air quality control in ecologically fragile coal-dependent cities by an uncertain Gaussian diffusion-Hurwicz criterion model," Energy Policy, Elsevier, vol. 132(C), pages 1191-1205.
    3. Fan, Jing-Li & Wang, Jia-Xing & Hu, Jia-Wei & Wang, Yu & Zhang, Xian, 2019. "Optimization of China’s provincial renewable energy installation plan for the 13th five-year plan based on renewable portfolio standards," Applied Energy, Elsevier, vol. 254(C).
    4. Tolis, Athanasios I. & Rentizelas, Athanasios A., 2011. "An impact assessment of electricity and emission allowances pricing in optimised expansion planning of power sector portfolios," Applied Energy, Elsevier, vol. 88(11), pages 3791-3806.
    5. Bergek, Anna & Mignon, Ingrid & Sundberg, Gunnel, 2013. "Who invests in renewable electricity production? Empirical evidence and suggestions for further research," Energy Policy, Elsevier, vol. 56(C), pages 568-581.
    6. Santos, Lúcia & Soares, Isabel & Mendes, Carla & Ferreira, Paula, 2014. "Real Options versus Traditional Methods to assess Renewable Energy Projects," Renewable Energy, Elsevier, vol. 68(C), pages 588-594.
    7. Fuss, Sabine & Johansson, Daniel J.A. & Szolgayova, Jana & Obersteiner, Michael, 2009. "Impact of climate policy uncertainty on the adoption of electricity generating technologies," Energy Policy, Elsevier, vol. 37(2), pages 733-743, February.
    8. Erisa Dautaj Şenerdem & K. Ali Akkemik, 0. "Evaluation of the reform in the Turkish electricity sector: a CGE analysis," International Journal of Economic Policy Studies, Springer, vol. 0, pages 1-31.
    9. Silvia Banfi & Massimo Filippini & Andrea Horehájová, 2012. "Using a choice experiment to estimate the benefits of a reduction of externalities in urban areas with special focus on electrosmog," Applied Economics, Taylor & Francis Journals, vol. 44(3), pages 387-397, January.
    10. Tom Savage & Antonio del Rio Chanona & Gbemi Oluleye, 2023. "Robust Market Potential Assessment: Designing optimal policies for low-carbon technology adoption in an increasingly uncertain world," Papers 2304.10203, arXiv.org.
    11. Lise, Wietze & Kruseman, Gideon, 2008. "Long-term price and environmental effects in a liberalised electricity market," Energy Economics, Elsevier, vol. 30(2), pages 230-248, March.
    12. Fernandes, Bartolomeu & Cunha, Jorge & Ferreira, Paula, 2011. "The use of real options approach in energy sector investments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4491-4497.
    13. Mignon, Ingrid & Bergek, Anna, 2016. "Investments in renewable electricity production: The importance of policy revisited," Renewable Energy, Elsevier, vol. 88(C), pages 307-316.
    14. ToksarI, M. Duran, 2009. "Estimating the net electricity energy generation and demand using the ant colony optimization approach: Case of Turkey," Energy Policy, Elsevier, vol. 37(3), pages 1181-1187, March.
    15. Reinhard Madlener & Carlos Henggeler Antunes & Luis C. Dias, 2006. "Multi-Criteria versus Data Envelopment Analysis for Assessing the Performance of Biogas Plants," CEPE Working paper series 06-49, CEPE Center for Energy Policy and Economics, ETH Zurich.
    16. Kumbaroglu, Gürkan & Madlener, Reinhard & Demirel, Mustafa, 2008. "A real options evaluation model for the diffusion prospects of new renewable power generation technologies," Energy Economics, Elsevier, vol. 30(4), pages 1882-1908, July.
    17. Reinhard Madlener & Martin Koller, 2006. "Economic and CO2 mitigation impacts of promoting biomass heating systems: an input-output study for Vorarlberg, Austria," CEPE Working paper series 06-50, CEPE Center for Energy Policy and Economics, ETH Zurich.
    18. Corinne Chaton & Marie-Laure Guillerminet & Cécile Bazart, 2007. "Optimal Design of Electricity Generation Industry under Deregulation and Support to Renewable Energies," Energy and Environmental Modeling 2007 24000008, EcoMod.
    19. Reinhard Madlener & Stefan Vögtli, 2006. "Diffusion of bioenergy in urban areas: socio-economic analysis of the planned Swiss wood-fired cogeneration plant in Basel," CEPE Working paper series 06-53, CEPE Center for Energy Policy and Economics, ETH Zurich.
    20. Rentizelas, Athanasios & Georgakellos, Dimitrios, 2014. "Incorporating life cycle external cost in optimization of the electricity generation mix," Energy Policy, Elsevier, vol. 65(C), pages 134-149.
    21. Tolis, Athanasios I. & Rentizelas, Athanasios A. & Tatsiopoulos, Ilias P., 2010. "Time-dependent opportunities in energy business: A comparative study of locally available renewable and conventional fuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 384-393, January.
    22. Andreas Welling, 2017. "Green Finance: Recent developments, characteristics and important actors," FEMM Working Papers 170002, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    23. Huang, Yun-Hsun & Wu, Jung-Hua, 2008. "A portfolio risk analysis on electricity supply planning," Energy Policy, Elsevier, vol. 36(2), pages 627-641, February.
    24. Chen, Hao & Tang, Bao-Jun & Liao, Hua & Wei, Yi-Ming, 2016. "A multi-period power generation planning model incorporating the non-carbon external costs: A case study of China," Applied Energy, Elsevier, vol. 183(C), pages 1333-1345.
    25. Silvia Banfi & Massimo Filippini & Andrea Horehájová, 2007. "Hedonic Price Functions for Zurich and Lugano with Special Focus on Electrosmog," CEPE Working paper series 07-57, CEPE Center for Energy Policy and Economics, ETH Zurich.
    26. Chaton, Corinne & Guillerminet, Marie-Laure, 2013. "Competition and environmental policies in an electricity sector," Energy Economics, Elsevier, vol. 36(C), pages 215-228.
    27. Hamzacebi, Coskun, 2007. "Forecasting of Turkey's net electricity energy consumption on sectoral bases," Energy Policy, Elsevier, vol. 35(3), pages 2009-2016, March.
    28. Eberhard Jochem, 2005. "An Agenda for Energy and Material Efficiency Policy – An Element of Technology Policy for a More Sustainable Use of Natural Resources," CEPE Working paper series 05-40, CEPE Center for Energy Policy and Economics, ETH Zurich.
    29. Tim Mennel & Teresa Romano & Sara Scatasta, 2013. "Comparing Feed-In Tariffs and Renewable Obligation Certificates - The Case of Repowering Wind Farms," IEFE Working Papers 57, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    30. Lone Werner & Bert Scholtens, 2017. "Firm Type, Feed-in Tariff, and Wind Energy Investment in Germany: An Investigation of Decision Making Factors of Energy Producers Regarding Investing in Wind Energy Capacity," Journal of Industrial Ecology, Yale University, vol. 21(2), pages 402-411, April.
    31. Zon, Adriaan van & Fuss, Sabine, 2006. "Irreversible Investment under Uncertainty in Electricity Generation: A Clay-Clay-Vintage Portfolio Approach with an Application to Climate Change Policy in the UK," MERIT Working Papers 2006-035, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    32. Rentizelas, Athanasios A. & Tolis, Athanasios I. & Tatsiopoulos, Ilias P., 2012. "Investment planning in electricity production under CO2 price uncertainty," International Journal of Production Economics, Elsevier, vol. 140(2), pages 622-629.
    33. Heinrich, G. & Howells, M. & Basson, L. & Petrie, J., 2007. "Electricity supply industry modelling for multiple objectives under demand growth uncertainty," Energy, Elsevier, vol. 32(11), pages 2210-2229.
    34. K. Ali Akkemik & Shinya Kato, 2023. "Estimating the economic and climate impacts of nuclear power in Turkey: hypothetical integration and dynamic CGE analysis," International Journal of Economic Policy Studies, Springer, vol. 17(2), pages 489-532, August.

Articles

  1. Ediger, Volkan S. & Camdali, Unal, 2007. "Energy and exergy efficiencies in Turkish transportation sector, 1988-2004," Energy Policy, Elsevier, vol. 35(2), pages 1238-1244, February.

    Cited by:

    1. Qi, Hai & Dong, Zhiliang & Dong, Shaohui & Sun, Xiaotian & Zhao, Yiran & Li, Yu, 2021. "Extended exergy accounting for smelting and pressing of metals industry in China," Resources Policy, Elsevier, vol. 74(C).
    2. Zhang, Ming & Mu, Hailin & Li, Gang & Ning, Yadong, 2009. "Forecasting the transport energy demand based on PLSR method in China," Energy, Elsevier, vol. 34(9), pages 1396-1400.
    3. Zhang, Ming & Li, Huanan & Zhou, Min & Mu, Hailin, 2011. "Decomposition analysis of energy consumption in Chinese transportation sector," Applied Energy, Elsevier, vol. 88(6), pages 2279-2285, June.
    4. Seckin, C. & Sciubba, E. & Bayulken, A.R., 2012. "An application of the extended exergy accounting method to the Turkish society, year 2006," Energy, Elsevier, vol. 40(1), pages 151-163.
    5. Liu, Hongwei & Yang, Ronglu & Wu, Jie & Chu, Junfei, 2021. "Total-factor energy efficiency change of the road transportation industry in China: A stochastic frontier approach," Energy, Elsevier, vol. 219(C).
    6. Deendarlianto, & Widyaparaga, Adhika & Sopha, Bertha Maya & Budiman, Arief & Muthohar, Imam & Setiawan, Indra Chandra & Lindasista, Alia & Soemardjito, Joewono & Oka, Kazutaka, 2017. "Scenarios analysis of energy mix for road transportation sector in Indonesia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 13-23.
    7. Ünler, Alper, 2008. "Improvement of energy demand forecasts using swarm intelligence: The case of Turkey with projections to 2025," Energy Policy, Elsevier, vol. 36(6), pages 1937-1944, June.
    8. Wang, W.W. & Zhang, M. & Zhou, M., 2011. "Using LMDI method to analyze transport sector CO2 emissions in China," Energy, Elsevier, vol. 36(10), pages 5909-5915.
    9. Ben Abdallah, Khaled & Belloumi, Mounir & De Wolf, Daniel, 2015. "International comparisons of energy and environmental efficiency in the road transport sector," Energy, Elsevier, vol. 93(P2), pages 2087-2101.
    10. Meng, Fanxin & Liu, Gengyuan & Yang, Zhifeng & Casazza, Marco & Cui, Shenghui & Ulgiati, Sergio, 2017. "Energy efficiency of urban transportation system in Xiamen, China. An integrated approach," Applied Energy, Elsevier, vol. 186(P2), pages 234-248.
    11. Erdogdu, Erkan, 2010. "Natural gas demand in Turkey," Applied Energy, Elsevier, vol. 87(1), pages 211-219, January.
    12. Dai, Jing & Chen, Bin & Sciubba, Enrico, 2014. "Extended exergy based ecological accounting for the transportation sector in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 229-237.
    13. Motasemi, F. & Afzal, Muhammad T. & Salema, Arshad Adam & Moghavvemi, M. & Shekarchian, M. & Zarifi, F. & Mohsin, R., 2014. "Energy and exergy utilization efficiencies and emission performance of Canadian transportation sector, 1990–2035," Energy, Elsevier, vol. 64(C), pages 355-366.
    14. Byers, Edward A. & Gasparatos, Alexandros & Serrenho, André C., 2015. "A framework for the exergy analysis of future transport pathways: Application for the United Kingdom transport system 2010–2050," Energy, Elsevier, vol. 88(C), pages 849-862.
    15. Utlu, Zafer & Hepbasli, Arif, 2008. "Energetic and exergetic assessment of the industrial sector at varying dead (reference) state temperatures: A review with an illustrative example," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(5), pages 1277-1301, June.
    16. Ceylan, Huseyin & Ceylan, Halim & Haldenbilen, Soner & Baskan, Ozgur, 2008. "Transport energy modeling with meta-heuristic harmony search algorithm, an application to Turkey," Energy Policy, Elsevier, vol. 36(7), pages 2527-2535, July.
    17. Cheng, Yung-Hsiang & Chang, Yu-Hern & Lu, I.J., 2015. "Urban transportation energy and carbon dioxide emission reduction strategies," Applied Energy, Elsevier, vol. 157(C), pages 953-973.
    18. Jaber, J.O. & Al-Ghandoor, A. & Sawalha, S.A., 2008. "Energy analysis and exergy utilization in the transportation sector of Jordan," Energy Policy, Elsevier, vol. 36(8), pages 2985-2990, August.
    19. Kavaklioglu, Kadir, 2011. "Modeling and prediction of Turkey's electricity consumption using Support Vector Regression," Applied Energy, Elsevier, vol. 88(1), pages 368-375, January.
    20. Zhang, M. & Li, G. & Mu, H.L. & Ning, Y.D., 2011. "Energy and exergy efficiencies in the Chinese transportation sector, 1980–2009," Energy, Elsevier, vol. 36(2), pages 770-776.
    21. Wang, Y.F. & Li, K.P. & Xu, X.M. & Zhang, Y.R., 2014. "Transport energy consumption and saving in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 641-655.
    22. Gasparatos, Alexandros & El-Haram, Mohamed & Horner, Malcolm, 2009. "A longitudinal analysis of the UK transport sector, 1970-2010," Energy Policy, Elsevier, vol. 37(2), pages 623-632, February.
    23. Song, Hongqing & Ou, Xunmin & Yuan, Jiehui & Yu, Mingxu & Wang, Cheng, 2017. "Energy consumption and greenhouse gas emissions of diesel/LNG heavy-duty vehicle fleets in China based on a bottom-up model analysis," Energy, Elsevier, vol. 140(P1), pages 966-978.
    24. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.

  2. Ediger, Volkan S. & Akar, Sertac, 2007. "ARIMA forecasting of primary energy demand by fuel in Turkey," Energy Policy, Elsevier, vol. 35(3), pages 1701-1708, March.

    Cited by:

    1. Yukseltan, Ergun & Yucekaya, Ahmet & Bilge, Ayse Humeyra & Agca Aktunc, Esra, 2021. "Forecasting models for daily natural gas consumption considering periodic variations and demand segregation," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    2. Li, Zheng & Zhou, Bo & Hensher, David A., 2022. "Forecasting automobile gasoline demand in Australia using machine learning-based regression," Energy, Elsevier, vol. 239(PD).
    3. Aydin, Gokhan, 2014. "Modeling of energy consumption based on economic and demographic factors: The case of Turkey with projections," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 382-389.
    4. Konstantinos Papageorgiou & Elpiniki I. Papageorgiou & Katarzyna Poczeta & Dionysis Bochtis & George Stamoulis, 2020. "Forecasting of Day-Ahead Natural Gas Consumption Demand in Greece Using Adaptive Neuro-Fuzzy Inference System," Energies, MDPI, vol. 13(9), pages 1-32, May.
    5. Daniya Tlegenova, 2015. "Forecasting Exchange Rates Using Time Series Analysis: The sample of the currency of Kazakhstan," Papers 1508.07534, arXiv.org.
    6. Hossein Iranmanesh & Majid Abdollahzade & Arash Miranian, 2011. "Mid-Term Energy Demand Forecasting by Hybrid Neuro-Fuzzy Models," Energies, MDPI, vol. 5(1), pages 1-21, December.
    7. Wang, Delu & Wang, Yadong & Song, Xuefeng & Liu, Yun, 2018. "Coal overcapacity in China: Multiscale analysis and prediction," Energy Economics, Elsevier, vol. 70(C), pages 244-257.
    8. Emre Yakut & Ezel Özkan, 2020. "Modeling of Energy Consumption Forecast with Economic Indicators Using Particle Swarm Optimization and Genetic Algorithm: An Application in Turkey between 1979 and 2050," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 8(1), pages 59-78, June.
    9. Melikoglu, Mehmet, 2013. "Vision 2023: Assessing the feasibility of electricity and biogas production from municipal solid waste in Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 52-63.
    10. Pin Li & Jinsuo Zhang, 2019. "Is China’s Energy Supply Sustainable? New Research Model Based on the Exponential Smoothing and GM(1,1) Methods," Energies, MDPI, vol. 12(2), pages 1-30, January.
    11. Wang, Qiang & Li, Shuyu & Li, Rongrong, 2018. "Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques," Energy, Elsevier, vol. 161(C), pages 821-831.
    12. Wood, Michael & Alsayegh, Osamah A., 2014. "Impact of oil prices, economic diversification policies and energy conservation programs on the electricity and water demands in Kuwait," Energy Policy, Elsevier, vol. 66(C), pages 144-156.
    13. Tutun, Salih & Chou, Chun-An & Canıyılmaz, Erdal, 2015. "A new forecasting framework for volatile behavior in net electricity consumption: A case study in Turkey," Energy, Elsevier, vol. 93(P2), pages 2406-2422.
    14. Reham Alhindawi & Yousef Abu Nahleh & Arun Kumar & Nirajan Shiwakoti, 2020. "Projection of Greenhouse Gas Emissions for the Road Transport Sector Based on Multivariate Regression and the Double Exponential Smoothing Model," Sustainability, MDPI, vol. 12(21), pages 1-18, November.
    15. Ouedraogo, Nadia S., 2017. "Africa energy future: Alternative scenarios and their implications for sustainable development strategies," Energy Policy, Elsevier, vol. 106(C), pages 457-471.
    16. Grzegorz Ślusarz & Dariusz Twaróg & Barbara Gołębiewska & Marek Cierpiał-Wolan & Jarosław Gołębiewski & Philipp Plutecki, 2023. "The Role of Biogas Potential in Building the Energy Independence of the Three Seas Initiative Countries," Energies, MDPI, vol. 16(3), pages 1-23, January.
    17. Pao, H.T., 2009. "Forecasting energy consumption in Taiwan using hybrid nonlinear models," Energy, Elsevier, vol. 34(10), pages 1438-1446.
    18. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
    19. Katarzyna Chudy-Laskowska & Tomasz Pisula, 2022. "An Analysis of the Use of Energy from Conventional Fossil Fuels and Green Renewable Energy in the Context of the European Union’s Planned Energy Transformation," Energies, MDPI, vol. 15(19), pages 1-23, October.
    20. Yu, Shiwei & Wei, Yi-Ming & Wang, Ke, 2012. "A PSO–GA optimal model to estimate primary energy demand of China," Energy Policy, Elsevier, vol. 42(C), pages 329-340.
    21. Kristiansen, Tarjei, 2012. "Forecasting Nord Pool day-ahead prices with an autoregressive model," Energy Policy, Elsevier, vol. 49(C), pages 328-332.
    22. Elsland, Rainer & Divrak, Can & Fleiter, Tobias & Wietschel, Martin, 2014. "Turkey’s Strategic Energy Efficiency Plan – An ex ante impact assessment of the residential sector," Energy Policy, Elsevier, vol. 70(C), pages 14-29.
    23. Xu, Guangyue & Chen, Yaqiang & Yang, Mengge & Li, Shuang & Marma, Kyaw Jaw Sine, 2023. "An outlook analysis on China's natural gas consumption forecast by 2035: Applying a seasonal forecasting method," Energy, Elsevier, vol. 284(C).
    24. Sen, Parag & Roy, Mousumi & Pal, Parimal, 2016. "Application of ARIMA for forecasting energy consumption and GHG emission: A case study of an Indian pig iron manufacturing organization," Energy, Elsevier, vol. 116(P1), pages 1031-1038.
    25. Meng, Ming & Niu, Dongxiao, 2011. "Modeling CO2 emissions from fossil fuel combustion using the logistic equation," Energy, Elsevier, vol. 36(5), pages 3355-3359.
    26. Colmenar, J.M. & Hidalgo, J.I. & Salcedo-Sanz, S., 2018. "Automatic generation of models for energy demand estimation using Grammatical Evolution," Energy, Elsevier, vol. 164(C), pages 183-193.
    27. Dilaver, Zafer & Hunt, Lester C., 2011. "Industrial electricity demand for Turkey: A structural time series analysis," Energy Economics, Elsevier, vol. 33(3), pages 426-436, May.
    28. Atul Anand & L Suganthi, 2018. "Hybrid GA-PSO Optimization of Artificial Neural Network for Forecasting Electricity Demand," Energies, MDPI, vol. 11(4), pages 1-15, March.
    29. Hussain, Anwar & Rahman, Muhammad & Memon, Junaid Alam, 2016. "Forecasting electricity consumption in Pakistan: the way forward," Energy Policy, Elsevier, vol. 90(C), pages 73-80.
    30. Karin Kandananond, 2011. "Forecasting Electricity Demand in Thailand with an Artificial Neural Network Approach," Energies, MDPI, vol. 4(8), pages 1-12, August.
    31. Rallapalli, Srinivasa Rao & Ghosh, Sajal, 2012. "Forecasting monthly peak demand of electricity in India—A critique," Energy Policy, Elsevier, vol. 45(C), pages 516-520.
    32. Alameer, Zakaria & Elaziz, Mohamed Abd & Ewees, Ahmed A. & Ye, Haiwang & Jianhua, Zhang, 2019. "Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm," Resources Policy, Elsevier, vol. 61(C), pages 250-260.
    33. Serli Kiremitciyan & Ahmet Goncu & Tolga Umut Kuzubas, 2014. "A Comparison of Stochastic Models of Natural Gas Consumption," Working Papers 2014/10, Bogazici University, Department of Economics.
    34. Ünler, Alper, 2008. "Improvement of energy demand forecasts using swarm intelligence: The case of Turkey with projections to 2025," Energy Policy, Elsevier, vol. 36(6), pages 1937-1944, June.
    35. Palanisamy Manigandan & MD Shabbir Alam & Majed Alharthi & Uzma Khan & Kuppusamy Alagirisamy & Duraisamy Pachiyappan & Abdul Rehman, 2021. "Forecasting Natural Gas Production and Consumption in United States-Evidence from SARIMA and SARIMAX Models," Energies, MDPI, vol. 14(19), pages 1-17, September.
    36. Wang, Shuai & Yu, Lean & Tang, Ling & Wang, Shouyang, 2011. "A novel seasonal decomposition based least squares support vector regression ensemble learning approach for hydropower consumption forecasting in China," Energy, Elsevier, vol. 36(11), pages 6542-6554.
    37. Han-Khanh Nguyen, 2020. "Combining DEA and ARIMA Models for Partner Selection in the Supply Chain of Vietnam’s Construction Industry," Mathematics, MDPI, vol. 8(6), pages 1-20, May.
    38. Hao Chen & Ling He & Jiachuan Chen & Bo Yuan & Teng Huang & Qi Cui, 2019. "Impacts of Clean Energy Substitution for Polluting Fossil-Fuels in Terminal Energy Consumption on the Economy and Environment in China," Sustainability, MDPI, vol. 11(22), pages 1-29, November.
    39. T. O. Benli, 2016. "A Comparison of Nineteen Various Electricity Consumption Forecasting Approaches and Practicing to Five Different Households in Turkey," Papers 1607.05660, arXiv.org.
    40. Sylvia Mardiana & Ferdinand Saragih & Martani Huseini, 2020. "Forecasting Gasoline Demand in Indonesia Using Time Series," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 132-145.
    41. Ke Yan & Xudong Wang & Yang Du & Ning Jin & Haichao Huang & Hangxia Zhou, 2018. "Multi-Step Short-Term Power Consumption Forecasting with a Hybrid Deep Learning Strategy," Energies, MDPI, vol. 11(11), pages 1-15, November.
    42. Anca Mehedintu & Mihaela Sterpu & Georgeta Soava, 2018. "Estimation and Forecasts for the Share of Renewable Energy Consumption in Final Energy Consumption by 2020 in the European Union," Sustainability, MDPI, vol. 10(5), pages 1-22, May.
    43. Sozen, Adnan & Gulseven, Zafer & Arcaklioglu, Erol, 2007. "Forecasting based on sectoral energy consumption of GHGs in Turkey and mitigation policies," Energy Policy, Elsevier, vol. 35(12), pages 6491-6505, December.
    44. Tong, Mingyu & Dong, Jingrong & Luo, Xilin & Yin, Dejun & Duan, Huiming, 2022. "Coal consumption forecasting using an optimized grey model: The case of the world's top three coal consumers," Energy, Elsevier, vol. 242(C).
    45. Li, Der-Chiang & Chang, Che-Jung & Chen, Chien-Chih & Chen, Wen-Chih, 2012. "Forecasting short-term electricity consumption using the adaptive grey-based approach—An Asian case," Omega, Elsevier, vol. 40(6), pages 767-773.
    46. Özlale, Ümit & Pekkurnaz, Didem, 2010. "Oil prices and current account: A structural analysis for the Turkish economy," Energy Policy, Elsevier, vol. 38(8), pages 4489-4496, August.
    47. Pruethsan Sutthichaimethee & Kuskana Kubaha, 2018. "The Efficiency of Long-Term Forecasting Model on Final Energy Consumption in Thailand’s Petroleum Industries Sector: Enriching the LT-ARIMAXS Model under a Sustainability Policy," Energies, MDPI, vol. 11(8), pages 1-18, August.
    48. Shafiee, Shahriar & Topal, Erkan, 2009. "When will fossil fuel reserves be diminished?," Energy Policy, Elsevier, vol. 37(1), pages 181-189, January.
    49. Sozen, Adnan & Nalbant, Muammer, 2007. "Situation of Turkey's energy indicators among the EU member states," Energy Policy, Elsevier, vol. 35(10), pages 4993-5002, October.
    50. Zhou, Cheng & Chen, Xiyang, 2019. "Predicting energy consumption: A multiple decomposition-ensemble approach," Energy, Elsevier, vol. 189(C).
    51. Xue, Puning & Zhou, Zhigang & Fang, Xiumu & Chen, Xin & Liu, Lin & Liu, Yaowen & Liu, Jing, 2017. "Fault detection and operation optimization in district heating substations based on data mining techniques," Applied Energy, Elsevier, vol. 205(C), pages 926-940.
    52. Berk, Istemi & Ediger, Volkan Ş., 2016. "Forecasting the coal production: Hubbert curve application on Turkey's lignite fields," Resources Policy, Elsevier, vol. 50(C), pages 193-203.
    53. Zhao, Jue & Hosseini, Shahab & Chen, Qinyang & Jahed Armaghani, Danial, 2023. "Super learner ensemble model: A novel approach for predicting monthly copper price in future," Resources Policy, Elsevier, vol. 85(PB).
    54. Wenting Zhao & Juanjuan Zhao & Xilong Yao & Zhixin Jin & Pan Wang, 2019. "A Novel Adaptive Intelligent Ensemble Model for Forecasting Primary Energy Demand," Energies, MDPI, vol. 12(7), pages 1-28, April.
    55. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    56. Yi-Chung Hu & Peng Jiang, 2017. "Forecasting energy demand using neural-network-based grey residual modification models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(5), pages 556-565, May.
    57. He, Yongda & Lin, Boqiang, 2018. "Forecasting China's total energy demand and its structure using ADL-MIDAS model," Energy, Elsevier, vol. 151(C), pages 420-429.
    58. Potočnik, Primož & Soldo, Božidar & Šimunović, Goran & Šarić, Tomislav & Jeromen, Andrej & Govekar, Edvard, 2014. "Comparison of static and adaptive models for short-term residential natural gas forecasting in Croatia," Applied Energy, Elsevier, vol. 129(C), pages 94-103.
    59. Ahed Abugabah & Farah Shahid, 2023. "Intelligent Health Care and Diseases Management System: Multi-Day-Ahead Predictions of COVID-19," Mathematics, MDPI, vol. 11(4), pages 1-19, February.
    60. Ding, Jia & Zhao, Yuxuan & Jin, Junyang, 2023. "Forecasting natural gas consumption with multiple seasonal patterns," Applied Energy, Elsevier, vol. 337(C).
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    4. Shafiee, Shahriar & Topal, Erkan, 2009. "When will fossil fuel reserves be diminished?," Energy Policy, Elsevier, vol. 37(1), pages 181-189, January.
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    8. Samuel Yeboah Asuamah & Joseph Ohene-Manu, 2015. "An Econometric Investigation of Forecasting Premium Fuel," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 716-724.
    9. Sumer, Kutluk Kagan & Goktas, Ozlem & Hepsag, Aycan, 2009. "The application of seasonal latent variable in forecasting electricity demand as an alternative method," Energy Policy, Elsevier, vol. 37(4), pages 1317-1322, April.
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