NDLI: A review and comparison of fuzzy regression models for energy consumption estimation

Content Provider	IEEE Xplore Digital Library
Author	Azadeh, A. Seraj, O. Saberi, M.
Copyright Year	2008
Description	Author affiliation: Dept. of Ind. Eng., Tehran Univ., Tehran (Azadeh, A.; Seraj, O.)
Abstract	The objective of this study is to examine the most well known fuzzy regression approaches with respect to energy consumption estimation. Furthermore there is no clear cut as to which approach is superior for energy consumption estimation. This is quite important in developing countries such China and Iran severe fluctuation for energy consumption. Where classic regression approaches do not provide a suitable prediction. In the present study, monthly data for electricity consumption in Iran are studied from 1992 to 2004. For suitable anticipation of electricity demand fluctuations, sixteen fuzzy regression models are considered in this research. Each fuzzy regression model has different approach and advantages. Auto correlation function was applied for defining input data of each of these models. By using this technique a few combinations are considered for selecting the input of each model. After calculating each model, their outputs will be an estimated function of the rate of electricity consumption in Iran. For determining the rate of error of fuzzy regression models estimations, the rate of output of each model is compared with the actual rate of monthly electricity consumption in test data. Five types of errors are considered for each model. Also an analysis of variance and Duncanpsilas multiple range tests are performed to formally select the best fuzzy regression model. The results show that Peterpsilas model is out performs the other by considerable margin.
Starting Page	1551
Ending Page	1555
File Size	183459
Page Count	5
File Format	PDF
ISBN	9781424421701
ISSN	19354576
DOI	10.1109/INDIN.2008.4618351
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-13
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy Least-Squares Regression Fuzzy Decision Making Fuzzy Linear Regression Fuzzy Mathematical Programming
Content Type	Text
Resource Type	Article

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