Ultra-Short-Term Wind Power Forecasting Based on the MSADBO-LSTM Model

Ultra-Short-Term Wind Power Forecasting Based on the MSADBO-LSTM Model

To address the challenges of the strong randomness and intermittency of wind power generation that affect wind power grid integration, power system scheduling, and the safe and stable operation of the system, an improved Dung Beetle Optimization Algorithm (MSADBO) is proposed to optimize the hyperpa...

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Bibliographic Details
Main Authors:	Ziquan Zhao, Jing Bai
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Series:	Energies
Subjects:	ultra-short-term wind power forecasting long short-term memory neural network improved dung beetle optimization algorithm sine algorithm adaptive Gaussian–Cauchy mixture perturbation
Online Access:	https://www.mdpi.com/1996-1073/17/22/5689
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