LSTM Short-term Electricity Load Forecasting Model Based on Improved Sparrow Search Algorithm and Ensemble Learning

Accurate short-term power load forecasting is crucial for power system management and planning, significantly enhancing operational efficiency, optimizing dispatching, and conserving energy resources. Although the Long Short-Term Memory (LSTM) network has proven effective in power load forecasting,...

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Veröffentlicht in:	Engineering letters Jg. 33; H. 8; S. 2996
Hauptverfasser:	Gong, Ze, Zhang, Yong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hong Kong International Association of Engineers 01.08.2025
Schlagworte:	Algorithms Datasets Effectiveness Electrical loads Electricity Energy sources Ensemble learning Error reduction Forecasting Machine learning Optimization Root-mean-square errors Search algorithms
ISSN:	1816-093X, 1816-0948
Online-Zugang:	Volltext
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