Short-term Load Forecasting Model Based on Ensemble Empirical Mode Decomposition and Q Learning Strategy

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Electricity Market | 更新时间：2025-10-13

- Short-term Load Forecasting Model Based on Ensemble Empirical Mode Decomposition and Q Learning Strategy
- “In the field of safe and stable operation of power systems, experts have proposed a short-term load forecasting model based on ensemble empirical mode decomposition and Q-learning strategy optimization, and the effectiveness of the model has been verified through experiments.”
- Modern Electric Power Vol. 42, Issue 2, Pages: 360-368(2025)
- 作者机构：
  
  1.广东电网有限责任公司电力调度控制中心, 广东省广州市 510000
  2.北京清能互联科技有限公司, 北京市海淀区100084
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2023.0017
  CLC： TM73
- Received：18 January 2023，
  
  Accepted：07 August 2023，
  
  Published：10 April 2025
- 稿件说明：
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Qinwei DUAN, Xiangzhen HE, Zhu CHAO, et al. Short-term Load Forecasting Model Based on Ensemble Empirical Mode Decomposition and Q Learning Strategy[J]. Modern electric power, 2025, 42(2): 360-368.
DOI：

Qinwei DUAN, Xiangzhen HE, Zhu CHAO, et al. Short-term Load Forecasting Model Based on Ensemble Empirical Mode Decomposition and Q Learning Strategy[J]. Modern electric power, 2025, 42(2): 360-368. DOI： 10.19725/j.cnki.1007-2322.2023.0017.

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