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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Bibliographic Details

Published in:	Engineering letters Vol. 33; no. 8; p. 2996
Main Authors:	Gong, Ze, Zhang, Yong
Format:	Journal Article
Language:	English
Published:	Hong Kong International Association of Engineers 01.08.2025
Subjects:	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 Access:	Get full text
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