Short Term Load Forecasting Using of Adaptive Neuro-Fuzzy Inference System
Publish place: 14th Iranian Student Conference on Electrical Engineering
Publish Year: 1390
Type: Conference paper
Language: English
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Document National Code:
ISCEE14_342
Index date: 22 August 2011
Short Term Load Forecasting Using of Adaptive Neuro-Fuzzy Inference System abstract
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.
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Short Term Load Forecasting Using of Adaptive Neuro-Fuzzy Inference System authors
P Fazlalipour
Islamic Azad University of Bonab Branch
S Rajamand
Islamic Azad University of Songhor Branch
A Darvishi
AmirKabir University of Technology