An integrated fuzzy regression algorithm for improved electricity consumption estimation
type: Item
instance of: scholarly article
title: An integrated fuzzy regression algorithm for improved electricity consumption estimation
zbMATH Open document ID: 1200.62098
DOI: 10.1504/IJOR.2010.034358
author: Ali Azadeh
author: Morteza Saberi
author: Anahita Gitiforouz
published in: International Journal of Operational Research
publication date: 2010-11-12T00:00:00Z
review text: Summary: This study presents an integrated fuzzy regression and time-series technique to estimate and predict electricity demand. Furthermore, it is difficult to model uncertain behaviour of energy consumption with only conventional time-series and fuzzy regression, which could be an ideal substitute for such cases. After reviewing various fuzzy regression models and studying their advantages and shortcomings, the best model is selected. Also, the impact of data preprocessing and post-processing on the fuzzy regression performance is to study and to show that this method does not contribute to the efficiency of the model. In addition, another unique feature of this study is utilisation of autocorrelation function to define input variables versus trial and error method. At last, the comparison of actual data with fuzzy regression and ARIMA models, using the Granger-Newbold test, is achieved. Monthly electricity consumption of Iran from 1995 to 2005 is considered as the case of this study.
Mathematics Subject Classification ID: 62M10
Mathematics Subject Classification ID: 62J86
Mathematics Subject Classification ID: 65C60
Mathematics Subject Classification ID: 91B42
Mathematics Subject Classification ID: 62P20
Mathematics Subject Classification ID: 62M86
zbMATH DE Number: 5815554
zbMATH Keywords: fuzzy regression
zbMATH Keywords: forecasting
zbMATH Keywords: data preprocessing
zbMATH Keywords: time series
zbMATH Keywords: electricity consumption
zbMATH Keywords: power consumption
zbMATH Keywords: electricity demand
zbMATH Keywords: demand prediction
zbMATH Keywords: autocorrelation
zbMATH Keywords: Iran
MaRDI profile type: Publication
full work available at URL: ijor.2010.034358
OpenAlex ID: W1971498765
description: scientific article; zbMATH DE number 5815554