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Communication Dans Un Congrès Année : 2023

SmartGrid Improvements on Photovoltaic Systems by Analyzing Energy and Weather Measures

Résumé

This paper presents an approach for power generation analysis in photovoltaic systems. The objective is to identify the qualitative impact on the energy produced according to fault detection and prediction based on the electrical and weather measurement dataset. Currently, machine and deep learning have been used effectively to recognize patterns in solar panel measurements. Dirt, breakage and shading can greatly reduce the designed efficiency of solar power plants. Thus, increasing the quantity and quality of the failure measurement dataset can significantly improve reliability and its performance.
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Dates et versions

hal-04077336 , version 1 (21-04-2023)

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Vagner Henrique De Souza, Antonio Wendell de Oliveira Rodrigues, Matheus Lima, Cláudio Marques de Sá Medeiros, Edilson Mineiro Sá Júnior. SmartGrid Improvements on Photovoltaic Systems by Analyzing Energy and Weather Measures. 10th International Workshop on ADVANCEs in ICT Infrastructures and Services (ADVANCE 2023), Federal University of Ceara, University of Evry, Feb 2023, Fortaleza-Jerricoacoara, Brazil. 8p, ⟨10.48545/advance2023-fullpapers-1_2⟩. ⟨hal-04077336⟩

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