default author photo

Wencai Run

North China Electric Power University

School of Business Administration,NCEPU

No. 2 Beinong Road, Changqing District

Beijing, 102206

China

SCHOLARLY PAPERS

4

DOWNLOADS

106

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

Epformer: Unlocking Day-Ahead Electricity Price Forecasting Accuracy Using the Time-Frequency Domain Feature Learning Strategy

Number of pages: 33 Posted: 30 May 2025
North China Electric Power University, Nanyang Technological University, North China Electric Power University, North China Electric Power University, North China Electric Power University and North China Electric Power University
Downloads 63 (980,173)

Abstract:

Loading...

Electricity Price Forecasting, Data Preprocessing, Encoder-Decoder Structure, Time and Frequency domain Feature Learning

2.

EPMFL: A day-ahead electricity price forecasting framework based on multi-factors collaborative learning and dynamic interpretable loss

Number of pages: 39 Posted: 30 Jan 2026
North China Electric Power University, North China Electric Power University, Northeastern University at Qinhuangdao, North China Electric Power University and North China Electric Power University
Downloads 20 (1,491,251)

Abstract:

Loading...

Electricity Price Forecasting, Data Preprocessing, Collaborative Forecasting, Multi-feature Fusion Prediction

3.

Behavior Cloning-Enhanced Multi-Agent Proximal Policy Optimization for Day-ahead Spot Trading in Wind-Photovoltaic-Storage Systems

Number of pages: 25 Posted: 18 Apr 2026
North China Electric Power University, North China Electric Power University, North China Electric Power University, Nanyang Technological University, North China Electric Power University and North China Electric Power University
Downloads 12 (1,534,404)

Abstract:

Loading...

Wind-photovoltaic storage system, Spot market, BC-MAPPO, multi-agent reinforcement learning

EPMFL: A day-ahead electricity price forecasting frameworkconsidering renewable-induced volatility based on multi-factorscollaborative learning and dynamic interpretable loss

Number of pages: 41 Posted: 12 Feb 2026
North China Electric Power University, North China Electric Power University, Northeastern University at Qinhuangdao, North China Electric Power University, North China Electric Power University, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 6 (1,646,315)

Abstract:

Loading...

Electricity Price Forecasting, Data Preprocessing, Collaborative Forecasting, Multi-feature Fusion Prediction

EPMFL: A day-ahead electricity price forecasting frameworkconsidering renewable-induced volatility based on multi-factorscollaborative learning and dynamic interpretable loss

Number of pages: 41 Posted: 12 Feb 2026
North China Electric Power University, North China Electric Power University, Northeastern University at Qinhuangdao, North China Electric Power University, North China Electric Power University, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 5 (1,646,315)

Abstract:

Loading...

Electricity Price Forecasting, Data Preprocessing, Collaborative Forecasting, Multi-feature Fusion Prediction