Predicting Module Performance from Cell and Module Parameters Using Machine Learning

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

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Predicting Module Performance from Cell and Module Parameters Using Machine Learning

Date

2023

Authors

Ernst, Marco

Wagner-Mohnsen, Hannes

Wasmer, Sven

Klöter, Bernhard

Altermatt, Pietro P.

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.

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https://hdl.handle.net/1885/733812287

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ANU Research Publications

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Conference paper

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Publication

DOI

10.1364/IPRSN.2023.JW2E.5

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Predicting Module Performance from Cell and Module Parameters Using Machine Learning

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