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.
Includes 12 months of unlimited digital access to the PV Tech Power content, full online archive, technical paper collection (over 400), and more.
Includes 4 upcoming issues in print.
