Estimating and forecasting residential electricity demand in Iran

Elham Pourazarm; Arusha Cooray

doi:10.1016/j.econmod.2013.08.006

Estimating and forecasting residential electricity demand in Iran

Elham Pourazarm, Arusha Cooray

Research output: Contribution to journal › Article

Abstract

This study examines the short- and the long-run relationship between electricity demand and its determinants in the Iranian residential sector. The study employs unit root tests, cointegration and error-correction models on annual time series for the peri

Original language	English
Pages (from-to)	546-558
Journal	Economic Modelling
Volume	35
DOIs	https://doi.org/10.1016/j.econmod.2013.08.006
Publication status	Published - 2013

Access to Document

10.1016/j.econmod.2013.08.006

http://hdl.handle.net/1885/77746

Cite this

@article{fca0b87cb4e74e24b1b79e0fda45a50f,

title = "Estimating and forecasting residential electricity demand in Iran",

abstract = "This study examines the short- and the long-run relationship between electricity demand and its determinants in the Iranian residential sector. The study employs unit root tests, cointegration and error-correction models on annual time series for the peri",

author = "Elham Pourazarm and Arusha Cooray",

year = "2013",

doi = "10.1016/j.econmod.2013.08.006",

language = "English",

volume = "35",

pages = "546--558",

journal = "Economic Modelling",

issn = "0264-9993",

publisher = "Elsevier",

}

TY - JOUR

T1 - Estimating and forecasting residential electricity demand in Iran

AU - Pourazarm, Elham

AU - Cooray, Arusha

PY - 2013

Y1 - 2013

N2 - This study examines the short- and the long-run relationship between electricity demand and its determinants in the Iranian residential sector. The study employs unit root tests, cointegration and error-correction models on annual time series for the peri

AB - This study examines the short- and the long-run relationship between electricity demand and its determinants in the Iranian residential sector. The study employs unit root tests, cointegration and error-correction models on annual time series for the peri

U2 - 10.1016/j.econmod.2013.08.006

DO - 10.1016/j.econmod.2013.08.006

M3 - Article

VL - 35

SP - 546

EP - 558

JO - Economic Modelling

JF - Economic Modelling

SN - 0264-9993

ER -

Estimating and forecasting residential electricity demand in Iran

Abstract

Access to Document

Fingerprint

Cite this