Beschreibung
full abstract in the appendix
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Predicting energy production from photovoltaics (PV) is crucial for efficient energy management. In order to be able to apply different operating strategies, it is necessary to be able to predict the expected amounts of PV energy. The operating strategies are typically optimized with regard to economic or technical goals or a combination of both. Within this work, we show a possibility to predict PV power production using local weather data. Based on the measured values from the PV system and an associated weather station, our model is trained and validated with regard to PV production. The measurement data come from the PV system of the former Campus North of Offenburg University of Applied Sciences from the years 2017-2021.
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full abstract in the appendix
