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...
- 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