Power Generation Prediction of Building-Integrated Photovoltaic System with Colored Modules Using Machine Learning

Power Generation Prediction of Building-Integrated Photovoltaic System with Colored Modules Using Machine Learning

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The building-integrated photovoltaic (BIPV) system is provoking mention as a technology for generating the energy consumed in cities with renewable sources. As the number of BIPV systems increases, performance diagnosis through power-generation predictions becomes more essential. In the case of a co...

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Bibliographic Details
Main Authors: Hwang, H.-M (Author), Ko, S.-W (Author), Park, C.-H (Author), Shin, J.-Y (Author), Shin, W.-G (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
building an integrated photovoltaic module
Building an integrated photovoltaic module
Building integrated photovoltaic system
colored photovoltaic module
Colored photovoltaic module
Forecasting
Generation predictions
machine learning
Machine learning
Machine learning models
Photovoltaic modules
Power
Power generation prediction
power generation predictions
Power- generations
Solar cells
Walls (structural partitions)
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