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Publications - ISI Article

Cloud-Base Height Estimation Based on CNN and All Sky Images

Related tags

#Photovoltaics #Renewable Energy #Solar Energy

Publications - ISI Article

Cloud-Base Height Estimation Based on CNN and All Sky Images

The study is dedicated to estimating cloud base height, a fundamental element in determining solar radiation availability, using a convolutional neural network applied to images from an All Sky Imager..

Among various meteorological parameters, cloud base height is employed in many applications to provide real-time operational information to aviation, to initialize numerical weather prediction models, and to validate them. Additionally, cloud base height is useful for short-term solar radiation forecasting.

 

Since cloud movements primarily affect solar irradiance availability, their characterization is crucial for solar energy applications; accurate estimation of ground shading requires knowledge of cloud height and extent. In this study, cloud base height is estimated from sky images captured by a single All Sky Imager. To accomplish this task, a convolutional neural network model is selected and developed.

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Rif.RSE​

22014107

Destination​

MDPI Engineering Proceedings, Vol. 18, Issue 1, June 20, 2022

Publication Date

20 June 2022

Authors​

E. Ogliari, A. Nespoli (Politecnico di Milano), El. Collino, D. Ronzio (RSE S.p.A.)

Publication Type

ISI Article

Projects

Integration of renewable energy into the land and environment (INFER)

Target​

Press & Media

Related tags

#Photovoltaics #Renewable Energy #Solar Energy

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