Wind power generation prediction using LSTM model optimized by sparrow search algorithm and firefly algorithm

Wind power generation prediction using LSTM model optimized by sparrow search algorithm and firefly algorithm

Abstract As an important renewable energy source, wind power generation is highly stochastic and uncertain due to various environmental factors affecting its output. To raise the accuracy of wind power generation prediction, a bidirectional long short-term memory network combination model based on s...

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Bibliographic Details
Main Authors: Wenjing Zhang, Hongjing Yan, Lili Xiang, Linling Shao
Format: Article
Language:English
Published: SpringerOpen 2025-03-01
Series:Energy Informatics
Subjects:
Wind power generation
Load forecasting
Sparrow algorithm
LSTM
Online Access:https://doi.org/10.1186/s42162-025-00492-x
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https://doi.org/10.1186/s42162-025-00492-x

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