Artificial intelligence in forecasting demands for electricity : an application in optimization of energy resources

ABSTRACT: This paper presents a current application of neural networks in the task of forecasting electricity demands in Colombia. They are used networks of the Multi Layer Perceptron (MLP) type with backpropagation training algorithms, and Radial Basic Function (RBF). The information available with...

Full description

Autores:

Villa Acevedo, Walter Mauricio
Sarmiento Maldonado, Henry Omar

Tipo de recurso:

Article of investigation

Fecha de publicación:

2008

Institución:

Universidad de Antioquia

Repositorio:

Repositorio UdeA

Idioma:

eng

OAI Identifier:

oai:bibliotecadigital.udea.edu.co:10495/36353

Acceso en línea:

https://hdl.handle.net/10495/36353
https://www.unipamplona.edu.co/unipamplona/portalIG/home_40/recursos/revistas/27102011/revista_12.jsp

Palabra clave:

Redes neuronales (Ciencias de la computación)
Neural networks (Computer science)
Inteligencia Artificial
Artificial intelligence
Sistemas de control feedforward
Feedforward control systems
Previsión
Forecasts
Sistemas de Energía Eléctrica
Electric power systems
http://id.loc.gov/authorities/subjects/sh90001937
http://id.loc.gov/authorities/subjects/sh85008180
http://id.loc.gov/authorities/subjects/sh85047652
http://id.loc.gov/authorities/subjects/sh85050485
http://id.loc.gov/authorities/subjects/sh85041921

Rights

openAccess

License

https://creativecommons.org/licenses/by-nc-nd/4.0/