Short-Term Photovoltaic Power Prediction Based on Extreme Learning Machine with Improved Dung Beetle Optimization Algorithm

Given the inherent volatility and intermittency of photovoltaic power generation, enhancing the precision of photovoltaic power predictions becomes imperative to ensure the stability of power systems and to elevate power quality. This article introduces an intelligent photovoltaic power prediction m...

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Autori principali:	Yuhao Zhang, Ting Li, Tianyi Ma, Dongsheng Yang, Xiaolong Sun
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2024-02-01
Serie:	Energies
Soggetti:	photovoltaic power generation extreme learning machine dung beetle optimization correlation analysis power prediction
Accesso online:	https://www.mdpi.com/1996-1073/17/4/960
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