Featured in Best in class – 01-2020

Not OK, computer

The PV industry is embracing artificial intelligence and machine learning techniques to automate operations and maintenance (O&M) diagnostics and predictive analytics in PV systems. More transparency and standard definitions are needed, however, as US-based Sandia Labs scientists Joshua Stein and Marios Theristis explain.

By

Blathnaid O’Dea

03 Dec 2024

Sandia National Laboratories is based in Albuquerque, New Mexico. | Photo: Sandia National Laboratories

Just over a decade ago, Sandia National Laboratories founded the PV Performance Modeling Collaborative (PVPMC). PVPMC is increasing transparency and accuracy in PV system performance modeling, according to Sandia, with the organization helping to bring together stakeholders to improve modeling practices. Joshua Stein, senior scientist at Sandia, thinks it is time for a similar effort …

This article is part of pv+

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