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

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10.1016/j.econmod.2013.08.006

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

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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",

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AU - Cooray, Arusha

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DO - 10.1016/j.econmod.2013.08.006

M3 - Article

SN - 0264-9993

VL - 35

SP - 546

EP - 558

JO - Economic Modelling

JF - Economic Modelling

ER -

Estimating and forecasting residential electricity demand in Iran

Abstract

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