Nowcasting, i.e. very-short term forecasting, of photovoltaic (PV) production has a growing importance. A typical method to perform it, relies on sky cameras and sky images that, duly processed, can provide a forecast of sharp and fast changes in PV production. The first issue that arises while dealing with these analyses regards the identification and forecasting of the solar position in the images, especially when it is covered by clouds. In this paper, three different techniques for solar identification in sky images are proposed, analysed and compared.

Solar Position Identification on Sky Images for Photovoltaic Nowcasting applications

Nespoli A.;Niccolai A.
2020-01-01

Abstract

Nowcasting, i.e. very-short term forecasting, of photovoltaic (PV) production has a growing importance. A typical method to perform it, relies on sky cameras and sky images that, duly processed, can provide a forecast of sharp and fast changes in PV production. The first issue that arises while dealing with these analyses regards the identification and forecasting of the solar position in the images, especially when it is covered by clouds. In this paper, three different techniques for solar identification in sky images are proposed, analysed and compared.
Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020
978-1-7281-7455-6
image processing
nowcasting
Photovoltaic forecasting
solar position
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1146144
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