An interpretable forecasting framework for energy consumption and CO2 emissions
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DOI: 10.1016/j.apenergy.2022.120163
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- Pao, Hsiao-Tien & Fu, Hsin-Chia & Tseng, Cheng-Lung, 2012. "Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model," Energy, Elsevier, vol. 40(1), pages 400-409.
- Kursa, Miron B. & Rudnicki, Witold R., 2010. "Feature Selection with the Boruta Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i11).
- jiemin, Huang & chen, Wen, 2022. "The impact of private sector energy investment, innovation and energy consumption on China's carbon emissions," Renewable Energy, Elsevier, vol. 195(C), pages 1291-1299.
- Mukund Sundararajan & Amir Najmi, 2019. "The many Shapley values for model explanation," Papers 1908.08474, arXiv.org, revised Feb 2020.
- Evgeny A. Antipov & Elena B. Pokryshevskaya, 2020. "Interpretable machine learning for demand modeling with high-dimensional data using Gradient Boosting Machines and Shapley values," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(5), pages 355-364, October.
- Zhang, Xing-Ping & Cheng, Xiao-Mei, 2009. "Energy consumption, carbon emissions, and economic growth in China," Ecological Economics, Elsevier, vol. 68(10), pages 2706-2712, August.
- Sami Ben Jabeur & Salma Mefteh-Wali & Jean-Laurent Viviani, 2021. "Forecasting gold price with the XGBoost algorithm and SHAP interaction values," Post-Print hal-03331805, HAL.
- Ang, James B., 2008. "Economic development, pollutant emissions and energy consumption in Malaysia," Journal of Policy Modeling, Elsevier, vol. 30(2), pages 271-278.
- Grossman, G.M & Krueger, A.B., 1991.
"Environmental Impacts of a North American Free Trade Agreement,"
Papers
158, Princeton, Woodrow Wilson School - Public and International Affairs.
- Grossman, Gene & Krueger, Alan B, 1992. "Environmental Impacts of a North American Free Trade Agreement," CEPR Discussion Papers 644, C.E.P.R. Discussion Papers.
- Gene M. Grossman & Alan B. Krueger, 1991. "Environmental Impacts of a North American Free Trade Agreement," NBER Working Papers 3914, National Bureau of Economic Research, Inc.
- 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, vol. 97(C).
- 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 1093, Institute of Social and Economic Research, Osaka University.
- L. Vanessa Smith & Nori Tarui & Takashi Yamagata, 2020. "Assessing the impact of COVID-19 on global fossil fuel consumption and CO2 emissions," Discussion Papers 20/07, Department of Economics, University of York.
- Arvin, Mak B. & Pradhan, Rudra P. & Norman, Neville R., 2015. "Transportation intensity, urbanization, economic growth, and CO2 emissions in the G-20 countries," Utilities Policy, Elsevier, vol. 35(C), pages 50-66.
- Gene M. Grossman & Alan B. Krueger, 1995.
"Economic Growth and the Environment,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
- Gene M. Grossman & Alan B. Krueger, 1994. "Economic Growth and the Environment," NBER Working Papers 4634, National Bureau of Economic Research, Inc.
- Murat, Yetis Sazi & Ceylan, Halim, 2006. "Use of artificial neural networks for transport energy demand modeling," Energy Policy, Elsevier, vol. 34(17), pages 3165-3172, November.
- Limanond, Thirayoot & Jomnonkwao, Sajjakaj & Srikaew, Artit, 2011. "Projection of future transport energy demand of Thailand," Energy Policy, Elsevier, vol. 39(5), pages 2754-2763, May.
- Rob J. Hyndman, 2006. "Another Look at Forecast Accuracy Metrics for Intermittent Demand," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 4, pages 43-46, June.
- Mitrentsis, Georgios & Lens, Hendrik, 2022. "An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting," Applied Energy, Elsevier, vol. 309(C).
- Llanos, Cristian & Kristjanpoller, Werner & Michell, Kevin & Minutolo, Marcel C., 2022. "Causal treatment effects in time series: CO2 emissions and energy consumption effect on GDP," Energy, Elsevier, vol. 249(C).
- Ofosu-Adarkwa, Jeffrey & Xie, Naiming & Javed, Saad Ahmed, 2020. "Forecasting CO2 emissions of China's cement industry using a hybrid Verhulst-GM(1,N) model and emissions' technical conversion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
- Narayan, Paresh Kumar & Smyth, Russell & Prasad, Arti, 2007. "Electricity consumption in G7 countries: A panel cointegration analysis of residential demand elasticities," Energy Policy, Elsevier, vol. 35(9), pages 4485-4494, September.
- Bazzo Vieira, João Pedro & Vieira Braga, Carlos Kauê & Pereira, Rafael H.M., 2022. "The impact of COVID-19 on air passenger demand and CO2 emissions in Brazil," Energy Policy, Elsevier, vol. 164(C).
- Nikos Sakkas & Sofia Yfanti & Costas Daskalakis & Eduard Barbu & Marharyta Domnich, 2021. "Interpretable Forecasting of Energy Demand in the Residential Sector," Energies, MDPI, vol. 14(20), pages 1-17, October.
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- Yuanzhen Song & Jian Tian & Weijie He & Aihemaiti Namaiti & Jian Zeng, 2024. "Differential Analysis of Carbon Emissions between Growing and Shrinking Cities: A Case of Three Northeastern Provinces in China," Land, MDPI, vol. 13(5), pages 1-23, May.
- Eskandari, Hamidreza & Saadatmand, Hassan & Ramzan, Muhammad & Mousapour, Mobina, 2024. "Innovative framework for accurate and transparent forecasting of energy consumption: A fusion of feature selection and interpretable machine learning," Applied Energy, Elsevier, vol. 366(C).
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- Yifei Chen & Zhihan Fu, 2023. "Multi-Step Ahead Forecasting of the Energy Consumed by the Residential and Commercial Sectors in the United States Based on a Hybrid CNN-BiLSTM Model," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
- Luo, Haizhi & Wang, Chenglong & Li, Cangbai & Meng, Xiangzhao & Yang, Xiaohu & Tan, Qian, 2024. "Multi-scale carbon emission characterization and prediction based on land use and interpretable machine learning model: A case study of the Yangtze River Delta Region, China," Applied Energy, Elsevier, vol. 360(C).
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Keywords
Machine learning; Model Interpretability; SHAP; Energy consumption; CO2 emissions;All these keywords.
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