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

Yerel katalogda bu makaleye atıf yapan 19 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

1. 2024 Forecasting electricity production from various energy sources in Türkiye: A predictive analysis of time series, deep learning, and hybrid modelsAtıf 39 · OpenAlex
2. 2024 Forecasting electricity production from various energy sources in Türkiye: A predictive analysis of time series, deep learning, and hybrid modelsAtıf 38 · OpenAlex
3. 2025 Optimizing electricity demand forecasting with a novel RNN-LSTM hybridmodelAtıf 34 · OpenAlex
4. 2024 Forecasting of biogas potential using artificial neural networks and time series models for Türkiye to 2035Atıf 24 · OpenAlex
5. 2024 Forecasting of biogas potential using artificial neural networks and time series models for Türkiye to 2035Atıf 24 · OpenAlex
6. 2024 Empowering Sustainability: A Consumer-Centric Analysis Based on Advanced Electricity Consumption PredictionsAtıf 16 · OpenAlex
7. 2024 Comparative time series analysis of SARIMA, LSTM, and GRU models for global SF6 emission management systemAtıf 16 · OpenAlex
8. 2024 Empowering Sustainability: A Consumer-Centric Analysis Based on Advanced Electricity Consumption PredictionsAtıf 16 · OpenAlex
9. 2024 Forecasting Turkish electricity consumption: A critical analysis of single and hybrid modelsAtıf 9 · OpenAlex
10. 2025 Comparative Study of Emission Prediction Using Deep Learning ModelsAtıf 6 · OpenAlex