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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-02-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/17/4/960 |