Solar Radiation Prediction on Photovoltaic Systems Using Machine Learning Techniques

Estimation of solar radiation is essential to help decision-makers in the planning of isolated solar energy farms or connected to electricity distribution networks to take advantage of renewable energy sources, reduce the impact produced by climate change, and increase coverage rates in electricity...

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Autores:

Tipo de recurso:

Fecha de publicación:

2020

Institución:

Universidad Pedagógica y Tecnológica de Colombia

Repositorio:

RiUPTC: Repositorio Institucional UPTC

Idioma:

spa

OAI Identifier:

oai:repositorio.uptc.edu.co:001/14284

Acceso en línea:

https://revistas.uptc.edu.co/index.php/ingenieria/article/view/11751
https://repositorio.uptc.edu.co/handle/001/14284

Palabra clave:

deep learning
machine learning
photovoltaic systems
prediction model
solar radiation
supervised learning
aprendizaje automático
aprendizaje profundo
aprendizaje supervisado
modelo de predicción
radiación solar
sistemas fotovoltaicos

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License

http://purl.org/coar/access_right/c_abf153