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Publications - ISI Article

Machine Learning techniques for solar irradiation nowcasting: Cloud type classification forecast through satellite data and imagery

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#Photovoltaics

Publications - ISI Article

Machine Learning techniques for solar irradiation nowcasting: Cloud type classification forecast through satellite data and imagery

The article presents an algorithm for identifying clouds obstructing direct sunlight towards a target and calculates the clearness index for the next fifteen minutes using machine learning, leveraging satellite data and meteorological information..

One of the most significant challenges in making renewable production competitive is developing new tools to manage unpredictability, avoid economic losses, ensure compliance with grid constraints, and enhance congestion management. Solar energy exhibits continuous temporal and spatial variations due in part to astronomical factors and partly influenced by meteorological conditions. Ground-level solar fluctuations exert a profound influence on the output power of photovoltaic systems, which can fluctuate significantly over short intervals. This study introduces a new model for real-time identification of clouds obstructing direct sunlight towards a specific geographic target. Additionally, a novel methodology for predicting clear sky index over the target in fifteen-minute intervals is proposed, leveraging Machine Learning techniques with satellite and meteorological data.

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Rif.RSE​

21012635

Destination​

Applied Energy, Vol. 305, No. 117834

Publication Date

01 January 2022

Authors​

A. Nespoli, A. Niccolai, E. Ogliari (Politecnico di Milano), G. Perego (Bluefondation, Monticello), E. 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 Research

Related tags

#Photovoltaics

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