Big data and predictive maintenance in PV – The state of the art

AUTHORS
Alessandro Betti, Fabrizio Ruffini, Lorenzo Gigoni and Antonio Piazzi.

ABSTRACT
Big data-based predictive analytics techniques using artificial intelligence technologies offer exciting new possibilities in the field of solar operations and maintenance. The authors examine how the power of data can be harnessed to safeguard the technical and economic performance of the PV fleet.

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