State of the art of electricity demand forecasting based on wavelet analisys and a nonlinear autoregressive model NAR

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.