Title :
State of the art of electricity demand forecasting based on wavelet analisys and a nonlinear autoregressive model NAR
Author :
Moreno-Chaparro, Cristhian ; Salcedo-Lagos, Jeison ; Rivas, Edwin ; Canon, Alvaro Orjuela
Author_Institution :
Fac. of Eng., Univ. Distrital Francisco Jose de Caldas, Bogota, Colombia
Abstract :
This paper shows a bibliographic review of studies conducted at the international scope in monthly electric energy demand forecasting, and the works developed in Colombia. In addition, reports the state of the art of investigations done with wavelet transform applied to electric energy prediction and studies reported with the nonlinear neural model autoregressive (NAR) in prediction. Finally we present a proposal for electric demand forecasting for the interconnected sector of Colombia.
Keywords :
autoregressive processes; load forecasting; neural nets; power engineering computing; wavelet transforms; Colombia interconnected sector; NAR nonlinear autoregressive model; electric energy demand forecasting; electric energy prediction; nonlinear neural model autoregressive; wavelet analysis; wavelet transform; Analytical models; Electricity; Multiresolution analysis; Neural networks; Predictive models; Time series analysis; electric load forecasting; nonlinear autoregressive neural model; time series forecasting; wavelet transform analysis;
Conference_Titel :
Engineering Applications (WEA), 2012 Workshop on
Conference_Location :
Bogota
Print_ISBN :
978-1-4673-0871-7
DOI :
10.1109/WEA.2012.6220078
