A Hybrid GA–PSO–CNN Model for Ultra-Short-Term Wind Power Forecasting

A Hybrid GA–PSO–CNN Model for Ultra-Short-Term Wind Power Forecasting

Accurate and timely wind power forecasting is essential for achieving large-scale wind power grid integration and ensuring the safe and stable operation of the power system. For overcoming the inaccuracy of wind power forecasting caused by randomness and volatility, this study proposes a hybrid conv...

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Bibliographic Details
Main Authors: Jie Liu, Quan Shi, Ruilian Han, Juan Yang
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Energies
Subjects:
convolutional neural network
ultra-short-term
wind power forecasting
hybrid
genetic algorithm
particle swarm optimization
Online Access:https://www.mdpi.com/1996-1073/14/20/6500

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https://www.mdpi.com/1996-1073/14/20/6500

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