Deep and machine learning models to forecast photovoltaic power generation

The integration and management of distributed energy resources (DERs), including residential photovoltaic (PV) production, coupled with the widespread use of enabling technologies such as artificial intelligence, have led to the emergence of new tools, market models, and business opportunities. The...

Full description

Autores:
Cantillo Luna, Sergio Alejandro
Moreno Chuquen, Ricardo
Celeita, David
George, Anders
Tipo de recurso:
Article of investigation
Fecha de publicación:
2023
Institución:
Universidad Autónoma de Occidente
Repositorio:
RED: Repositorio Educativo Digital UAO
Idioma:
eng
OAI Identifier:
oai:red.uao.edu.co:10614/15884
Acceso en línea:
https://hdl.handle.net/10614/15884
https://doi.org/10.3390/en16104097
https://red.uao.edu.co/
Palabra clave:
Deep learning
Machine learning
PV power forecasting
Time-series analysis
Rights
openAccess
License
Derechos reservados - MDPI, 2023