Primary energy sources planning based on demand forecasting: The case of Turkey

Forecasting electricity consumption is a very important issue for governments and electricity related foundations of public sector. Recently, Grey Modelling (GM (1,1)) has been used to forecast electricity demand successfully. GM (1,1) is useful when the observed data is limited, and it does not req...

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Main Author: Coşkun Hamzaçebi
Format: Article
Language:English
Published: University of Cape Town 2016-03-01
Series:Journal of Energy in Southern Africa
Subjects:
Online Access:https://journals.assaf.org.za/jesa/article/view/1560
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spelling doaj-03c44963e084479aad5a6c78a982462f2020-11-24T21:20:11ZengUniversity of Cape TownJournal of Energy in Southern Africa1021-447X2413-30512016-03-0127121010.17159/2413-3051/2016/v27i1a15601560Primary energy sources planning based on demand forecasting: The case of TurkeyCoşkun Hamzaçebi0Karadeniz Technical UniversityForecasting electricity consumption is a very important issue for governments and electricity related foundations of public sector. Recently, Grey Modelling (GM (1,1)) has been used to forecast electricity demand successfully. GM (1,1) is useful when the observed data is limited, and it does not require any preliminary information about the data distribution. However, the original form of GM (1,1) needs some improvements in order to use for time series, which exhibit seasonality. In this study, a grey forecasting model which is called SGM (1,1) is proposed to give the forecasting ability to the basic form of GM(1,1) in order to overcome seasonality issues. The proposed model is then used to forecast the monthly electricity demand of Turkey between 2015 and 2020. Obtained forecasting values were used to plan the primary energy sources of electricity production. The findings of the study may guide the planning of future plant investments and maintenance operations in Turkey. Moreover, the method can also be applied to predict seasonal electricity demand of any other country.https://journals.assaf.org.za/jesa/article/view/1560electricity demandforecastingseasonal grey modellingresource planning
collection DOAJ
language English
format Article
sources DOAJ
author Coşkun Hamzaçebi
spellingShingle Coşkun Hamzaçebi
Primary energy sources planning based on demand forecasting: The case of Turkey
Journal of Energy in Southern Africa
electricity demand
forecasting
seasonal grey modelling
resource planning
author_facet Coşkun Hamzaçebi
author_sort Coşkun Hamzaçebi
title Primary energy sources planning based on demand forecasting: The case of Turkey
title_short Primary energy sources planning based on demand forecasting: The case of Turkey
title_full Primary energy sources planning based on demand forecasting: The case of Turkey
title_fullStr Primary energy sources planning based on demand forecasting: The case of Turkey
title_full_unstemmed Primary energy sources planning based on demand forecasting: The case of Turkey
title_sort primary energy sources planning based on demand forecasting: the case of turkey
publisher University of Cape Town
series Journal of Energy in Southern Africa
issn 1021-447X
2413-3051
publishDate 2016-03-01
description Forecasting electricity consumption is a very important issue for governments and electricity related foundations of public sector. Recently, Grey Modelling (GM (1,1)) has been used to forecast electricity demand successfully. GM (1,1) is useful when the observed data is limited, and it does not require any preliminary information about the data distribution. However, the original form of GM (1,1) needs some improvements in order to use for time series, which exhibit seasonality. In this study, a grey forecasting model which is called SGM (1,1) is proposed to give the forecasting ability to the basic form of GM(1,1) in order to overcome seasonality issues. The proposed model is then used to forecast the monthly electricity demand of Turkey between 2015 and 2020. Obtained forecasting values were used to plan the primary energy sources of electricity production. The findings of the study may guide the planning of future plant investments and maintenance operations in Turkey. Moreover, the method can also be applied to predict seasonal electricity demand of any other country.
topic electricity demand
forecasting
seasonal grey modelling
resource planning
url https://journals.assaf.org.za/jesa/article/view/1560
work_keys_str_mv AT coskunhamzacebi primaryenergysourcesplanningbasedondemandforecastingthecaseofturkey
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