A total fuzzy regression algorithm for energy consumption estimation

A Azadeh, O Seraj, M Saberi - 2008 6th IEEE International …, 2008 - ieeexplore.ieee.org
This study presents an integrated fuzzy regression and time series algorithm to estimate and
predict electricity demand for seasonal and monthly changes in electricity consumption …

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

A Azadeh, O Seraj, M Saberi - 2008 6th IEEE International …, 2008 - ieeexplore.ieee.org
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 …

An integrated simulated-based fuzzy regression algorithm and time series for energy consumption estimation with non-stationary data and case studies

A Tajvidi, A Azadeh, M Saberi… - 2009 3rd IEEE …, 2009 - ieeexplore.ieee.org
This study presents an integrated fuzzy regression, computer simulation and time series
framework to estimate and predict electricity demand for seasonal and monthly changes in …

An integrated fuzzy regression algorithm for improved electricity consumption estimation

A Azadeh, M Saberi… - International Journal of …, 2010 - inderscienceonline.com
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 …

An integrated fuzzy regression algorithm for energy consumption estimation with non-stationary data: a case study of Iran

A Azadeh, M Saberi, O Seraj - Energy, 2010 - Elsevier
This study presents an integrated fuzzy regression and time series framework to estimate
and predict electricity demand for seasonal and monthly changes in electricity consumption …

An integrated simulation-based fuzzy regression-time series algorithm for electricity consumption estimation with non-stationary data

A Azadeh, M Saberi, A Gitiforouz - Journal of the Chinese Institute …, 2011 - Taylor & Francis
This study presents an integrated fuzzy regression, computer simulation, and time series
algorithm to estimate and predict electricity demand for seasonal and monthly changes in …

Estimating electricity demand function in residential sector by fuzzy regression

A Azadeh, SF Ghaderi… - 2006 IEEE International …, 2006 - ieeexplore.ieee.org
This paper presents a fuzzy regression approach for estimation of electricity demand
function in residential sector. Moreover, electricity consumption in residential sector plays an …

A combined 2-dimensional fuzzy regression model to study effect of climate change on the electricity consumption in Iran

H Zaman, H Shakouri - … on energy, power and control (EPC-IQ), 2010 - ieeexplore.ieee.org
This paper studies the impact of climate change on the electricity consumption by means of
a fuzzy regression approach. The climate factors which have been considered in this paper …

Annual energy demand estimation of Iran industrial sector by Fuzzy regression and ARIMA

MN Mehr, FF Samavati… - 2011 Eighth International …, 2011 - ieeexplore.ieee.org
This research presents a fuzzy regression model to efficiently estimate long term energy
consumption in industry sector of Iran from 1982 to 2006. Four independent variables such …

An integrated fuzzy mathematical model and principal component analysis algorithm for forecasting uncertain trends of electricity consumption

A Azadeh, M Saberi, A Gitiforouz - Quality & quantity, 2013 - Springer
This paper introduces an integrated algorithm for forecasting electricity consumption (EL)
based on fuzzy regression, time series and principal component analysis (PCA) in uncertain …