Title :
ANN-based short-term load forecasting in Bogotá
Author :
Mejia, Joaquin E. ; Correal, M.E.
Author_Institution :
Univ. of the Andes, Bogota
Abstract :
This paper proposes four different models for an Artificial Neural Network (ANN) based on short term load forecasting. Historical load data from Bogota from 2000 to 2007 is used for testing, showing the good performance of the different methods.
Keywords :
artificial intelligence; load forecasting; neural nets; power engineering computing; Bogota; artificial neural network; short term load forecasting; Artificial neural networks; Biological neural networks; Demand forecasting; Economic forecasting; Load forecasting; Power system management; Power system modeling; Power system planning; Power system security; Predictive models; ANN; Articial network; Short term load forecasting;
Conference_Titel :
Transmission and Distribution Conference and Exposition: Latin America, 2008 IEEE/PES
Conference_Location :
Bogota
Print_ISBN :
978-1-4244-2217-3
Electronic_ISBN :
978-1-4244-2218-0
DOI :
10.1109/TDC-LA.2008.4641825
