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Sensorless PV Power Forecasting in Grid-Connected Buildings through Deep Learning
Existing works in photovoltaic (PV) power generation focus on accurately predicting the PV power output on a forecast horizon. As the solar power generation is heavily influenced by meteorological conditions such as solar radiation, the weather forecast is a critical input in the prediction performa...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111307/ https://www.ncbi.nlm.nih.gov/pubmed/30072641 http://dx.doi.org/10.3390/s18082529 |