Modified Particle Swarm Optimization with Attention-Based LSTM for Wind Power Prediction

Modified Particle Swarm Optimization with Attention-Based LSTM for Wind Power Prediction

The accuracy of wind power prediction is crucial for the economic operation of a wind power dispatching management system. Wind power generation is closely related to the meteorological conditions around wind plants; a small variation in wind speed could lead to a large fluctuation in the extracted...

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Bibliographic Details
Main Authors: Yiyang Sun, Xiangwen Wang, Junjie Yang
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Energies
Subjects:
wind power prediction
modify particle swarm optimization algorithm (MPSO)
attention mechanism
LSTM neural network
Online Access:https://www.mdpi.com/1996-1073/15/12/4334

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