Forecasting electricity production from various energy sources in Türkiye: A predictive analysis of time series, deep learning, and hybrid models

Gülay E., Şen M., Akgün Ö. B.

ENERGY, vol.286, pp.1-14, 2024 (SCI-Expanded, Scopus)

• Publication Type: Article / Article
• Volume: 286
• Publication Date: 2024
• Doi Number: 10.1016/j.energy.2023.129566
• Journal Name: ENERGY
• Journal Indexes: 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
• Page Numbers: pp.1-14
• Keywords: Forecasting, Time series analysis, Deep learning models, Hybrid models, Electricity production, Renewable energy sources
• Dokuz Eylül University Affiliated: Yes