Short-Term Photovoltaic Power Forecasting Based on the VMD-IDBO-DHKELM Model

Short-Term Photovoltaic Power Forecasting Based on the VMD-IDBO-DHKELM Model

A short-term photovoltaic power forecasting method is proposed, integrating variational mode decomposition (VMD), an improved dung beetle algorithm (IDBO), and a deep hybrid kernel extreme learning machine (DHKELM). First, the weather factors less relevant to photovoltaic (PV) power generation are f...

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Bibliographic Details
Main Authors: Shengli Wang, Xiaolong Guo, Tianle Sun, Lihui Xu, Jinfeng Zhu, Zhicai Li, Jinjiang Zhang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
Subjects:
photovoltaic power forecast
K-means
improved dung beetle optimizer
variational mode decomposition
deep hybrid learning
kernel extremum learning machine
Online Access:https://www.mdpi.com/1996-1073/18/2/403
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