Sensorless PV Power Forecasting in Grid-Connected Buildings through Deep Learning

Existing works in photovoltaic (PV) power generation focus on accurately predicting the PV power output on a forecast horizon. As the solar power generation is heavily influenced by meteorological conditions such as solar radiation, the weather forecast is a critical input in the prediction performa...

Descripción completa

Detalles Bibliográficos
Autores principales: Son, Junseo, Park, Yongtae, Lee, Junu, Kim, Hyogon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111307/
https://www.ncbi.nlm.nih.gov/pubmed/30072641
http://dx.doi.org/10.3390/s18082529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111307/
https://www.ncbi.nlm.nih.gov/pubmed/30072641
http://dx.doi.org/10.3390/s18082529

Ejemplares similares