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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Bibliographic Details
Main Authors: Yuhao Zhang, Ting Li, Tianyi Ma, Dongsheng Yang, Xiaolong Sun
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/17/4/960