Hourly Photovoltaic Production Prediction Using Numerical Weather Data and Neural Networks for Solar Energy Decision Support
The day-ahead photovoltaic electricity forecast is increasingly necessary for grid operators and for energy communities. In the present work, the hourly PV production is estimated using two models based on feedforward neural networks (FFNNs). Most existing models use solar radiation as an input. Ins...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2024-01-01
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| Edice: | Energies |
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| On-line přístup: | https://www.mdpi.com/1996-1073/17/2/466 |
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