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Conferences > IPRSN > 2023 > JW2E > JW2E.5

Predicting Module Performance from Cell and Module Parameters Using Machine Learning

Marco Ernst, Hannes Wagner-Mohnsen, Sven Wasmer, Bernhard Klöter, and Pietro P. Altermatt

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Abstract

We use machine learning and device physics to analyze mass-produced solar modules, identifying factors that affect performance. Our approach is demonstrated by simulating 10,000 PERC solar cells and 2,000 half-cell modules using numerical device simulations. Our flexible approach can be applied to real data from production lines and scenarios.

© 2023 The Author(s)

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