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Increasing the Accuracy of Hourly Multi-Output Solar Power Forecast with Physics-Informed Machine Learning
Machine Learning (ML)-based methods have been identified as capable of providing up to one day ahead Photovoltaic (PV) power forecasts. In this research, we introduce a generic physical model of a PV system into ML predictors to forecast from one to three days ahead. The only requirement is a basic...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839153/ https://www.ncbi.nlm.nih.gov/pubmed/35161500 http://dx.doi.org/10.3390/s22030749 |