Mid-term electricity demand forecasting using improved multi-mode reconstruction and particle swarm-enhanced support vector regression
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DOI: 10.1016/j.energy.2024.132021
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- Tang, Zihan & Ji, Tianyao & Kang, Jiaxi & Huang, Yunlin & Tang, Wenhu, 2025. "Learning global and local features of power load series through transformer and 2D-CNN: An image-based multi-step forecasting approach incorporating phase space reconstruction," Applied Energy, Elsevier, vol. 378(PA).
- Lu, Wanbo & Liu, Qibo & Wang, Jie, 2024. "Effect of electricity policy uncertainty and carbon emission prices on electricity demand in China based on mixed-frequency data models," Utilities Policy, Elsevier, vol. 91(C).
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Keywords
Electricity demand forecasting; Ensemble empirical mode decomposition; Sample entropy; Support vector regression; Hybrid prediction method;All these keywords.
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