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

Published: May 14, 2019

By Alessandro Betti; Fabrizio Ruffini; Lorenzo Gigoni; Antonio Piazzi

Big data-based predictive analytics techniques using artificial intelligence technologies offer exciting new possibilities in the field of solar operations and maintenance. Alessandro Betti, Fabrizio Ruffini, Lorenzo Gigoni and Antonio Piazzi examine how the power of data can be harnessed to safeguard the technical and economic performance of the PV fleet.

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