您当前的位置：
首页 >
文章列表页 >
Review of Spot Electricity Price Prediction Studies Based on Machine Learning Methods
Power Economic Research | 更新时间：2025-12-08

    • Review of Spot Electricity Price Prediction Studies Based on Machine Learning Methods

    • “In the context of electricity market construction, predicting spot electricity prices is crucial for optimizing resource allocation. Experts have analyzed the challenges and future research directions of electricity price prediction based on machine learning models, providing reference for market development.”
    • Electric Power Construction   Vol. 46, Issue 2, Pages: 160-179(2025)

    • DOI：10.12204/j.issn.1000-7229.2025.02.014    

      CLC： TM76

    • Received：19 January 2024，

      Revised：2024-03-22，

      Published：01 February 2025

    移动端阅览

  • JIA Heping,GUO Yuchen,MA Qianxin,et al.Review of Spot Electricity Price Prediction Studies Based on Machine Learning Methods[J].Electric Power Construction,2025,46(02):160-179. DOI： 10.12204/j.issn.1000-7229.2025.02.014.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Clearing Model for Flexibility Dispatching of Virtual Power Plants and Energy Spot Market Considering Transmission-Distribution Coordination
Practice and Exploration of Market-oriented Profit Models for Virtual Power Plants in Shanghai

Related Author

HUANG Fuquan
HE Yujun
GUO Hongye
CHEN Tunan
LI Yun
DONG Yufang
LI Qing
HE Guangyu

Related Institution

Tsinghua Shenzhen International Graduate School
Department of Electrical Engineering， Tsinghua University
Shenzhen Power Supply Bureau Co.， Ltd.
Key Laboratory of Control of Power Transmission and Conversion， Ministry of Education （Shanghai Jiao Tong University）
State Grid Shanghai Municipal Electric Power Company
0