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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University of Cape Town
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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 |
_version_ |
1726003573015183360 |