Junction Temperature Prediction and Lifetime Assessment in a PV Inverter Using a 10-year Mission profile

The expansion of great-scale photovoltaic (PV) power plants indicates the need for an accurate lifetime assessment of inverters to maintain energy supply availability. In this context, the study contributes in two ways. First, we use machine-learning (ML) models for junction temperature prediction....

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Váldodahkkit:	Andrei C. Ribeiro, Rômullo R. M. Carvalho, Francisco V. E. Lemos, João P. C. Silveira, Pedro J. S. Neto, Carlos E. Beluzo, Tárcio A. S. Barros
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Associação Brasileira de Eletrônica de Potência 2024-10-01
Ráidu:	Eletrônica de Potência
Fáttát:	junction temperature prediction lifetime assessment machine-learning models mission profile photovoltaic inverter reliability
Liŋkkat:	https://journal.sobraep.org.br/index.php/rep/article/view/958
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