【作者单位】Affiliations 1 College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China. 2 College of Computer Science and Technology, Taiyuan Normal University, Jinzhong, China. 3 Shanxi Energy Internet Research Institute, Taiyuan, China. 4 Key Laboratory of Big Data Fusion Analysis and Application of Shanxi Province, Taiyuan, China.
【摘要】 Introduction: Residential load forecasting is a challenging task due to the random fluctuations caused by complex correlations and individual differences. The existing short-term load forecasting models usually introduce external influencing factors ...
