STC Short-Circuit Current Prediction and I-V Simulation of Colored BIPV Modules With Machine Learning and One-Diode Equivalent Circuit Models

10.1109/JPHOTOV.2022.3195693

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Main Authors: Saw, Min Hsian, Pravettoni, Mauro, Birgersson, Erik
Other Authors: SOLAR ENERGY RESEARCH INST OF S'PORE
Format: Article
Language:English
Published: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 2022
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/235257
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-2352572024-04-04T02:30:22Z STC Short-Circuit Current Prediction and I-V Simulation of Colored BIPV Modules With Machine Learning and One-Diode Equivalent Circuit Models Saw, Min Hsian Pravettoni, Mauro Birgersson, Erik SOLAR ENERGY RESEARCH INST OF S'PORE MECHANICAL ENGINEERING Science & Technology Technology Physical Sciences Energy & Fuels Materials Science, Multidisciplinary Physics, Applied Materials Science Physics Building-integrated photovoltaics (BIPV) colored photovoltaics (PV) equivalent circuit model I-V performance machine learning (ML) RGB color value ENERGY-CONSUMPTION BUILDINGS 10.1109/JPHOTOV.2022.3195693 IEEE JOURNAL OF PHOTOVOLTAICS 2022-12-02T08:59:34Z 2022-12-02T08:59:34Z 2022-08-10 2022-12-02T03:32:10Z Article Saw, Min Hsian, Pravettoni, Mauro, Birgersson, Erik (2022-08-10). STC Short-Circuit Current Prediction and I-V Simulation of Colored BIPV Modules With Machine Learning and One-Diode Equivalent Circuit Models. IEEE JOURNAL OF PHOTOVOLTAICS. ScholarBank@NUS Repository. https://doi.org/10.1109/JPHOTOV.2022.3195693 2156-3381 2156-3403 https://scholarbank.nus.edu.sg/handle/10635/235257 en IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Science & Technology
Technology
Physical Sciences
Energy & Fuels
Materials Science, Multidisciplinary
Physics, Applied
Materials Science
Physics
Building-integrated photovoltaics (BIPV)
colored photovoltaics (PV)
equivalent circuit model
I-V performance
machine learning (ML)
RGB color value
ENERGY-CONSUMPTION
BUILDINGS
spellingShingle Science & Technology
Technology
Physical Sciences
Energy & Fuels
Materials Science, Multidisciplinary
Physics, Applied
Materials Science
Physics
Building-integrated photovoltaics (BIPV)
colored photovoltaics (PV)
equivalent circuit model
I-V performance
machine learning (ML)
RGB color value
ENERGY-CONSUMPTION
BUILDINGS
Saw, Min Hsian
Pravettoni, Mauro
Birgersson, Erik
STC Short-Circuit Current Prediction and I-V Simulation of Colored BIPV Modules With Machine Learning and One-Diode Equivalent Circuit Models
description 10.1109/JPHOTOV.2022.3195693
author2 SOLAR ENERGY RESEARCH INST OF S'PORE
author_facet SOLAR ENERGY RESEARCH INST OF S'PORE
Saw, Min Hsian
Pravettoni, Mauro
Birgersson, Erik
format Article
author Saw, Min Hsian
Pravettoni, Mauro
Birgersson, Erik
author_sort Saw, Min Hsian
title STC Short-Circuit Current Prediction and I-V Simulation of Colored BIPV Modules With Machine Learning and One-Diode Equivalent Circuit Models
title_short STC Short-Circuit Current Prediction and I-V Simulation of Colored BIPV Modules With Machine Learning and One-Diode Equivalent Circuit Models
title_full STC Short-Circuit Current Prediction and I-V Simulation of Colored BIPV Modules With Machine Learning and One-Diode Equivalent Circuit Models
title_fullStr STC Short-Circuit Current Prediction and I-V Simulation of Colored BIPV Modules With Machine Learning and One-Diode Equivalent Circuit Models
title_full_unstemmed STC Short-Circuit Current Prediction and I-V Simulation of Colored BIPV Modules With Machine Learning and One-Diode Equivalent Circuit Models
title_sort stc short-circuit current prediction and i-v simulation of colored bipv modules with machine learning and one-diode equivalent circuit models
publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
publishDate 2022
url https://scholarbank.nus.edu.sg/handle/10635/235257
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