Individualized Short-Term Electric Load Forecasting Using Data-Driven Meta-Heuristic Method Based on LSTM Network

Short-term load forecasting is viewed as one promising technology for demand prediction under the most critical inputs for the promising arrangement of power plant units. Thus, it is imperative to present new incentive methods to motivate such power system operations for electricity management. This...

全面介绍

书目详细资料

发表在:	Sensors
Main Authors:	Lichao Sun, Hang Qin, Krzysztof Przystupa, Michal Majka, Orest Kochan
格式:	文件
语言:	英语
出版:	MDPI AG 2022-10-01
主题:	short-term load forecasting meta-heuristic optimization technology logistic chaos operator multi-level regulation factor sine cosine algorithm recurrent neural network
在线阅读:	https://www.mdpi.com/1424-8220/22/20/7900