Forecast of the demand for hourly electric energy by artificial neural networks

Obtaining an accurate forecast of the energy demand is fundamental to support the several decision processes of the electricity service agents in a country. For market operators, a greater precision in the short-term load forecasting implies a more efficient programming of the electricity generation...

Full description

Autores:

Viloria, Amelec
RONCALLO PICHON, ALBERTO DE JESUS
Hernandez-P, Hugo
REDONDO BILBAO, OSMAN ENRIQUE
Pineda, Omar
Vargas, Jesús

Tipo de recurso:

Article of journal

Fecha de publicación:

2020

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/7772

Acceso en línea:

https://hdl.handle.net/11323/7772
https://doi.org/10.1007/978-981-15-3125-5_46
https://repositorio.cuc.edu.co/

Palabra clave:

Forecasting
Electric load
Artificial neural networks

Rights

openAccess

License

Attribution-NonCommercial-NoDerivatives 4.0 International