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Short Term Load Forecasting Using of Adaptive Neuro-Fuzzy Inference System

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Year: 2011
Present: پوستر
COI code: ISCEE14_342
Paper Language: English

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Authors Short Term Load Forecasting Using of Adaptive Neuro-Fuzzy Inference System

  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

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COI code: ISCEE14_342

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Fazlalipour, P; S Rajamand & A Darvishi, 2011, Short Term Load Forecasting Using of Adaptive Neuro-Fuzzy Inference System, 14th Iranian Student Conference on Electrical Engineering, كرمانشاه, دانشگاه كرمانشاه, سازمان علمي دانشجويي مهندسي برق كشور, the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Fazlalipour, P; S Rajamand & A Darvishi, 2011)
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The University/Research Center Information:
Type: Azad University
Paper No.: 1668
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