Research on Short-Term Load Forecasting Based on Optimized GRU Neural Network

Accurate short-term load forecasting can ensure the safe and stable operation of power grids, but the nonlinear load increases the complexity of forecasting. In order to solve the problem of modal aliasing in historical data, and fully explore the relationship between time series characteristics in...

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Veröffentlicht in:	Electronics (Basel) Jg. 11; H. 22; S. 3834
Hauptverfasser:	Li, Chao, Guo, Quanjie, Shao, Lei, Li, Ji, Wu, Han
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.11.2022
Schlagworte:	Algorithms Artificial intelligence Cyclic loads Deep learning Forecasting Mathematical models Mathematical optimization Neural networks Optimization Prediction theory Time series China
ISSN:	2079-9292, 2079-9292
Online-Zugang:	Volltext
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