P Fazlalipour - Islamic Azad University of Bonab Branch
S Rajamand - Islamic Azad University of Songhor Branch
A Darvishi - AmirKabir University of Technology

the huge consumption of electric energy in these days has given the load forecasting a big attention from researchers and utility operators. Forecasting electric load will aid the electric company in optimal energy generation , dispatching and unit commitment.This paper introduce the results of applying Adaptive Neuro-Fuzzy inference system to short term load forecasting. The theoretical foundation are introduced and details of the adaptive fuzzy system are presented.The results of its application on Saveh for one week load demand are included.

Short Term, Load Forecasting, Adaptive Neuro-Fuzzy Inference System