Demand For Electricity In Lebanon

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dc.contributor.author Dah, Abdallah en_US
dc.contributor.author Abosedra, Salah en_US
dc.contributor.author Ghosh, Sajal en_US
dc.date.accessioned 2016-05-19T06:41:54Z en_US
dc.date.available 2016-05-19T06:41:54Z en_US
dc.date.copyright 2009 en_US
dc.date.issued 2016-05-19
dc.identifier.issn 1535-0754 en_US
dc.identifier.uri http://hdl.handle.net/10725/3835 en_US
dc.description.abstract This paper estimates the demand for electricity in Lebanon by employing three modeling techniques namely OLS, ARIMA and exponential smoothing for the time span January 1995 to December 2005. In- sample forecasts reveal that the forecasts made by ARIMA (0,1,3) (1,0,0)12 is superior in terms of lowest RMSE, MSE and MAPE criteria, followed by exponential smoothing and OLS. Therefore, the planners in Lebanon could utilize linear univariate time-series models for forecasting future demand of electricity until detailed data on various socio-economic variables are available, which, in the future, may result in other modeling techniques being superior to estimate the demand for electricity in the country. en_US
dc.language.iso en en_US
dc.title Demand For Electricity In Lebanon en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SOB en_US
dc.author.idnumber 198929040 en_US
dc.author.department Department of Economics (ECON) en_US
dc.description.embargo N/A en_US
dc.relation.journal International Business & Economics Research Journal (IBER) en_US
dc.journal.volume 8 en_US
dc.journal.issue 1 en_US
dc.article.pages 11-17 en_US
dc.keywords Electricity Demand en_US
dc.keywords Exponential Smoothing en_US
dc.keywords ARIMA Modeling en_US
dc.identifier.doi http://dx.doi.org/10.19030/iber.v8i1.3083 en_US
dc.identifier.ctation Abosedra, S., Dah, A., & Ghosh, S. (2011). Demand for electricity in Lebanon. International Business & Economics Research Journal (IBER), 8(1). en_US
dc.author.email aadah@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://cluteinstitute.com/ojs/index.php/IBER/article/view/3083 en_US
dc.orcid.id https://orcid.org/0000-0001-9133-5508 en_US

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