Distributed photovoltaic short‐term power forecasting using hybrid competitive particle swarm optimization support vector machines based on spatial correlation analysis
Abstract In order to further improve the accuracy of distributed photovoltaic (DPV) power prediction, this paper proposes a support vector machine (SVM) model based on hybrid competitive particle swarm optimization (HCPSO) with consideration of spatial correlation (SC), for realizing short‐term PV p...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2023-11-01
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Series: | IET Renewable Power Generation |
Subjects: | |
Online Access: | https://doi.org/10.1049/rpg2.12860 |