Study on the forecast model of electricity substitution potential in Beijing-Tianjin-Hebei region considering the impact of electricity substitution policies
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DOI: 10.1016/j.enpol.2020.111686
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- Carvallo, Juan Pablo & Larsen, Peter H. & Sanstad, Alan H. & Goldman, Charles A., 2018. "Long term load forecasting accuracy in electric utility integrated resource planning," Energy Policy, Elsevier, vol. 119(C), pages 410-422.
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- Zhao, Zhenyu & Zhang, Yao & Yang, Yujia & Yuan, Shuguang, 2022. "Load forecasting via Grey Model-Least Squares Support Vector Machine model and spatial-temporal distribution of electric consumption intensity," Energy, Elsevier, vol. 255(C).
- Chen, Hai-Bao & Pei, Ling-Ling & Zhao, Yu-Feng, 2021. "Forecasting seasonal variations in electricity consumption and electricity usage efficiency of industrial sectors using a grey modeling approach," Energy, Elsevier, vol. 222(C).
- Dongxiao Niu & Tian Gao & Zhengsen Ji & Yujing Liu & Gengqi Wu, 2021. "Analysis of the Efficiency of Provincial Electricity Substitution in China Based on a Three-Stage DEA Model," Energies, MDPI, vol. 14(20), pages 1-17, October.
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Keywords
Electrical energy substitution; Beijing-tianjin-hebei; System dynamics; SSA-LSSVM method;All these keywords.
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