Integração de Dados e Modelos de Previsão de Produção Fotovoltaica do Nordeste Brasileiro

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Hugo Abreu Mendes
http://orcid.org/0000-0002-0474-2680
Henrique Ferreira Nunes
http://orcid.org/0000-0002-0474-2680
Paulo S.G. de Mattos Neto
http://orcid.org/0000-0002-2396-7973

Abstract

All productive branches of society need an estimate to be able to control their expenses well. In the energy business, electric utilities use this information to control the power flow in the grid. For the estimation of the energy production of photovoltaic systems to be well done, it is necessary to join several geospatial and meteorological variables. This work proposes the creation of a satellite data integration platform, production estimation models, measurement base stations and actual production capacity. Some statistical, probabilistic and artificial intelligence models that generate spatial and temporal production estimates that could improve production gains as well as facilitate the monitoring and supervision of new enterprises are presented.

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How to Cite
Abreu Mendes, H., Ferreira Nunes, H., & de Mattos Neto, P. (2020). Integração de Dados e Modelos de Previsão de Produção Fotovoltaica do Nordeste Brasileiro. Journal of Engineering and Applied Research, 5(2), 62-72. https://doi.org/10.25286/repa.v5i2.1355
Section
Artificial Inteligence 2020