Forecasting of Coal Demand in China Based on Support Vector Machine Optimized by the Improved Gravitational Search Algorithm
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- Wang, Yalin & Xie, Wufei & Liu, Chenliang & Luo, Jiang & Qiu, Zhifeng & Deconinck, Geert, 2024. "Forecast of coal consumption in salt lake enterprises based on temporal gated recurrent unit network with squeeze-and-excitation attention," Energy, Elsevier, vol. 299(C).
- Mengshu, Shi & Yuansheng, Huang & Xiaofeng, Xu & Dunnan, Liu, 2021. "China's coal consumption forecasting using adaptive differential evolution algorithm and support vector machine," Resources Policy, Elsevier, vol. 74(C).
- Chengzhou Li & Ningling Wang & Hongyuan Zhang & Qingxin Liu & Youguo Chai & Xiaohu Shen & Zhiping Yang & Yongping Yang, 2019. "Environmental Impact Evaluation of Distributed Renewable Energy System Based on Life Cycle Assessment and Fuzzy Rough Sets," Energies, MDPI, vol. 12(21), pages 1-17, November.
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- Yujing Liu & Ruoyun Du & Dongxiao Niu, 2022. "Forecast of Coal Demand in Shanxi Province Based on GA—LSSVM under Multiple Scenarios," Energies, MDPI, vol. 15(17), pages 1-16, September.
- Wang, Delu & Tian, Cuicui & Mao, Jinqi & Chen, Fan, 2023. "Forecasting coal demand in key coal consuming industries based on the data-characteristic-driven decomposition ensemble model," Energy, Elsevier, vol. 282(C).
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Keywords
coal consumption forecasting; support vector machine; improved gravitational search algorithm; grey relational analysis;All these keywords.
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