Gross electricity consumption forecasting using LSTM and SARIMA approaches: A case study of Türkiye

Bilgili M., Pinar E.

ENERGY, cilt.284, ss.128575, 2023 (SCI-Expanded)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 284
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1016/j.energy.2023.128575
  • Dergi Adı: ENERGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Communication Abstracts, Compendex, Computer & Applied Sciences, Environment Index, INSPEC, Metadex, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.128575
  • Çukurova Üniversitesi Adresli: Evet