Title : ( A Multi Adaptive Neuro Fuzzy Inference System for Short Term Load Forecasting by using Previous Day Features )
Authors: Zohreh Souzanchi- K , Hadi Fanaee-T , Mahdi Yaghobi , Mohammad Reza Akbarzadeh Totonchi ,
Full TextAbstract
In this paper, the use of Adaptive Neural-Fuzzy Inference System (ANFIS) to study the design of Short-Term Load Forecasting (STLF) systems for the east of Iran was explored. This paper forecasts consumed load by using multi ANFIS. Entries of the presented model are into the multi ANFIS including the date of the day, temperature maximum and minimum, climate condition and the previous days consumed load and its exit is forecasting of power load consumption of every season. Previous days contain 2,7,14 day before, and 2, 3, 4 day before. The results show that temperature and the features of 2, 7 and 14 day ago have an important role in load forecast.
Keywords
, Adaptive Neural-Fuzzy Inference System, Load forecasting, Multi ANFIS, Previous Day Features
@inproceedings{paperid:1019469,
author = {Zohreh Souzanchi- K and Hadi Fanaee-T and Mahdi Yaghobi and Akbarzadeh Totonchi, Mohammad Reza},
title = {A Multi Adaptive Neuro Fuzzy Inference System for Short Term Load Forecasting by using Previous Day Features},
booktitle = {International Conference on Electronics and Information Engineering-ICEIE 2010},
year = {2010},
location = {IRAN},
keywords = {Adaptive Neural-Fuzzy Inference System; Load
forecasting; Multi ANFIS; Previous Day Features},
}
%0 Conference Proceedings
%T A Multi Adaptive Neuro Fuzzy Inference System for Short Term Load Forecasting by using Previous Day Features
%A Zohreh Souzanchi- K
%A Hadi Fanaee-T
%A Mahdi Yaghobi
%A Akbarzadeh Totonchi, Mohammad Reza
%J International Conference on Electronics and Information Engineering-ICEIE 2010
%D 2010
