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Makale detayı · 2011 · article

Modeling and forecasting of Turkey s energy consumption using socio economic and demographic variables

ISSN0306-2619
YÖKSİS OpenAlex SJR Q1 JCR Q1 Üst %10
Yıl2011
Atıf282OpenAlex
Yüzdelik%98,7
FWCI11,241,00 = dünya ortalaması
Scopus (SJR)Q1
WoS (JCR)Q1

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıAPPLIED ENERGY
  • Katalog eşleşmesi (ISSN)Applied Energy
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

Özet henüz derlenmedi; DergiPark / OpenAlex kuyruğu işlenince burada görünecek.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

282atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 124 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2015 Forecasting electricity consumption A comparison of regression analysis neural networks and least squares support vector machinesAtıf 491 · OpenAlex
  2. 2015 Forecasting electricity consumption A comparison of regression analysis neural networks and least squares support vector machinesAtıf 490 · OpenAlex
  3. 2023 Development of regression models to forecast the CO2 emissions from fossil fuels in the BRICS and MINT countriesAtıf 264 · OpenAlex
  4. 2023 Development of regression models to forecast the CO2 emissions from fossil fuels in the BRICS and MINT countriesAtıf 264 · OpenAlex
  5. 2012 A novel hybrid approach based on Particle Swarm Optimization and Ant Colony Algorithm to forecast energy demand of TurkeyAtıf 215 · OpenAlex
  6. 2012 A novel hybrid approach based on Particle Swarm Optimization and Ant Colony Algorithm to forecast energy demand of TurkeyAtıf 215 · OpenAlex
  7. 2012 A novel hybrid approach based on Particle Swarm Optimization and Ant Colony Algorithm to forecast energy demand of TurkeyAtıf 215 · OpenAlex
  8. 2016 Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio economic indicators and climatic conditions Case of TurkeyAtıf 181 · OpenAlex
  9. 2016 Energy consumption modeling using artificial neural networks The case of the world s highest consumersAtıf 180 · OpenAlex
  10. 2014 Modeling of energy consumption based on economic and demographic factors The case of Turkey with projectionsAtıf 126 · OpenAlex

Yazarlar

4
  1. MURAT KANKAL BURSA ULUDAĞ ÜNİVERSİTESİ 1
  2. ADEM AKPINAR 2
  3. MURAT İHSAN KÖMÜRCÜ 3
  4. TALAT ŞÜKRÜ ÖZŞAHİN 4