Article detail · 2023
Gross electricity consumption forecasting using LSTM and SARIMA approaches: A case study of Türkiye
YÖKSİS
OpenAlex
SJR Q1
JCR Q1
Citations 109
Top 10%
Percentile 98.8%
FWCI 9.04
- Year
- 2023
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Energy
- Catalog match (ISSN) Energy
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
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Topics
Citations
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109 citations
OpenAlex cited_by_count (cache / database)
9 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Forecasting electricity production from various energy sources in Türkiye: A predictive analysis of time series, deep learning, and hybrid models 2024
- Optimizing electricity demand forecasting with a novel RNN-LSTM hybridmodel 2025
- Forecasting of biogas potential using artificial neural networks and time series models for Türkiye to 2035 2024
- Forecasting of biogas potential using artificial neural networks and time series models for Türkiye to 2035 2024
- Empowering Sustainability: A Consumer-Centric Analysis Based on Advanced Electricity Consumption Predictions 2024
- Forecasting Turkish electricity consumption: A critical analysis of single and hybrid models 2024
- Statistical and Machine Learning Approaches for Energy Consumption Forecasting Using Time Series Analysis 2025
- PMGT-Net: A physics-informed multi-scale graph transformer framework for explainable national energy dependency forecasting 2026
- Short-Term Electricity Consumption Forecasting for a University Campus: A Hybrid SWT–Frequency Attention–TCN Approach 2026