Machine learning assisted representative period selection as input to modelling of field degradation in photovoltaic modules-Reference-Cited by-同舟云学术

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Machine learning assisted representative period selection as input to modelling of field degradation in photovoltaic modules

Published:2023-12 Issue: Volume:263 Page:112559
ISSN:0927-0248
Container-title:Solar Energy Materials and Solar Cells
language:en
Short-container-title:Solar Energy Materials and Solar Cells

Author:

Otnes Gaute^ORCID,Lindholm Dag^ORCID,Fjær Hallvard,Seljom Pernille^ORCID,Foss Sean Erik^ORCID

Funder

Horizon 2020

Publisher

Elsevier BV

Subject

Surfaces, Coatings and Films,Renewable Energy, Sustainability and the Environment,Electronic, Optical and Magnetic Materials

Reference67 articles.

1. Photovoltaic failure and degradation modes;Jordan;Prog. Photovoltaics Res. Appl.,2017

2. The results of performance measurements of field-aged crystalline silicon photovoltaic modules;Skoczek;Prog. Photovoltaics Res. Appl.,2009

3. 35 years of photovoltaics: analysis of the TISO‐10‐kW solar plant, lessons learnt in safety and performance—Part 1;Virtuani;Prog. Photovoltaics Res. Appl.,2019

4. Life after 30 years- a PV system in Colorado;Jordan,2021

5. 35 years of photovoltaics: analysis of the TISO‐10‐kW solar plant, lessons learnt in safety and performance—Part 2;Annigoni;Prog. Photovoltaics Res. Appl.,2019

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