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

fYear

2012

fDate

2-4 May 2012

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering Applications (WEA), 2012 Workshop on

Conference_Location

Bogota

Print_ISBN

978-1-4673-0871-7

Type

conf

DOI

10.1109/WEA.2012.6220078

Filename

6220078