The PV-Tech Power, the journal that addresses technology and business issues which impact on reducing LCOE and protecting ROI, has chosen i-EM for its cover story in the May 2019 release.

The title of the article is “Big data and predictive maintenance in PV – the state of the art”.

The author is the i-EM’s Data Science team: Alessandro Betti, Fabrizio Ruffini, Lorenzo Gigoni e Antonio Piazzi.

They described how big data-based predictive analytics techniques using artificial intelligence technologies can offer exciting new possibilities in the field of solar operations and maintenance. In the two pages dedicated to i-EM predictive maintenance service, our scientists examined how the power of data can be harnessed to safeguard the technical and economic performance of the PV fleet.