Turkey's Long-Term Electricity Consumption Forecast

MakaleAçık ErişimScopus SJRQ3
  • SDG 7 · Erişilebilir ve Temiz Enerji
  • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
  • SDG 13 · İklim Eylemi

Özet

Demand forecasting is essential primarily for planning. Although it is crucial in many sectors and issues, it has particular importance for electricity. Therefore, the issue of electricity consumption forecasting has recently become a prevalent topic. In light of the above, this study aimed to develop an appropriate model to estimate the long-term electricity consumption of Turkey. The study consists of three steps. In the first step, eight models were developed to separately investigate the effects of eight input variables frequently used in electricity consumption forecasting studies in the literature. In the second step of the study, two models consisting of input variables with high impact in the first step were developed, and the trained performances of the developed models were calculated by using the regression analysis. In the final step, the combined effect of eight variables on electricity consumption forecasting was investigated using regression analysis. It can be conclude that the model in the third step showed significant results, and the model performance was good. Finally, Turkey's electricity consumption forecast for the years 2020-2030 was performed using the model in the third step.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/bayburt/14327Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.56042/jsir.v81i12.40731Yayıncı resmi DOI adresi
İndeks kayıtları
Kaydın indeks veri tabanlarındaki sayfası (aktarımda alınan kayıt numarasıyla). Erişim, indeksin kendi koşullarına bağlıdır.
Atıflar
WoS
1
OpenAlex
3
Her kaynağın kendi saydığı toplam atıf; aktarım ve zenginleştirme sırasında alındı.
Tam Kayıt
AlanDeğerDil
dc.contributor.authorEmec, S.
dc.contributor.authorAkkaya, G.
dc.date.accessioned2026-10-29T19:15:43.989576838Z
dc.date.available2026-10-29T19:15:43.989576838Z
dc.date.issued2022-12
dc.description.abstractDemand forecasting is essential primarily for planning. Although it is crucial in many sectors and issues, it has particular importance for electricity. Therefore, the issue of electricity consumption forecasting has recently become a prevalent topic. In light of the above, this study aimed to develop an appropriate model to estimate the long-term electricity consumption of Turkey. The study consists of three steps. In the first step, eight models were developed to separately investigate the effects of eight input variables frequently used in electricity consumption forecasting studies in the literature. In the second step of the study, two models consisting of input variables with high impact in the first step were developed, and the trained performances of the developed models were calculated by using the regression analysis. In the final step, the combined effect of eight variables on electricity consumption forecasting was investigated using regression analysis. It can be conclude that the model in the third step showed significant results, and the model performance was good. Finally, Turkey's electricity consumption forecast for the years 2020-2030 was performed using the model in the third step.
dc.identifier.doi10.56042/jsir.v81i12.40731
dc.identifier.eissn0975-1084
dc.identifier.endpage1341
dc.identifier.issn0022-4456
dc.identifier.issue12
dc.identifier.startpage1336
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/bayburt/14327
dc.identifier.volume81
dc.identifier.wosWOS:000917265200010
dc.language.isoen
dc.publisherNATL INST SCIENCE COMMUNICATION-NISCAIR
dc.relation.ispartofJOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectDemand estimation
dc.subjectElectricity demand
dc.subjectForecasting
dc.subjectRegression analysis
dc.subject.classificationEngineering, Multidisciplinary
dc.subject.classificationEngineering
dc.subject.otherENERGY-CONSUMPTION
dc.subject.otherNEURAL-NETWORK
dc.subject.otherPREDICTION
dc.subject.otherDEMAND
dc.subject.otherPROJECTIONS
dc.subject.otherALGORITHM
dc.titleTurkey's Long-Term Electricity Consumption Forecast
dc.typeArticle
rdl.citation.openalex3
rdl.citation.wos1
rdl.oa.statusgold
rdl.oa.urlhttps://doi.org/10.56042/jsir.v81i12.40731
rdl.scopus.quartileQ3
rdl.sdgSDG07
rdl.sdgSDG13
rdl.sdgSDG09
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)