[Legacy Report] Models for Solar Radiation Prediction for Photovoltaic Plant management

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The forecasting of solar radiation availability is a key tool for managing photovoltaic (PV) plants, especially in a smart grid scenario. However, the variability of the weather phenomena is an unavoidable obstacle in the prediction of the energy produced. The use of the data collected in the past can be useful to capture the daily and seasonal variability, while measurement of the recent past can be exploited to provide a short term prediction. Since an accurate measurement of the solar radiation requires not only a high class radiometer, but also a correct management of the instrument, the exploitation of data collected by public weather station nearby the solar plant can reduce the costs for the management of the monitoring apparatus. Several prediction techniques belonging from both computational intelligence and statistical fields have been challenged in this task.



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  • Newark, New Jersey
  • United States

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  • Co-sponsored by AP01/MTT17 & ED/CAS