A hybrid prediction model for photovoltaic power generation based on information entropy
Abstract Photovoltaic power is affected by various random and coupled meteorological factors, and its changing trend implies the non‐linear effects of these factors. According to the quantitative analysis results, a statistical prediction model is proposed to accurately predict the power, which is o...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-02-01
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| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/gtd2.12032 |