Article detail · 2010
Modeling and forecasting of Turkey’s energy consumption using socio-economic and demographic variables
Journal
Applied Energy
OpenAlex
SJR Q1
JCR Q1
Citations 280
Top 10%
Percentile 98.6%
FWCI 10.97
- Year
- 2010
- Type
- article
Data source split
- YÖKSİS venue Applied Energy
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
Abstract not compiled yet; it will appear after the DergiPark / OpenAlex queue runs.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
280 citations
OpenAlex cited_by_count (cache / database)
100 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Forecasting electricity consumption A comparison of regression analysis neural networks and least squares support vector machines 2015
- Development of regression models to forecast the CO2 emissions from fossil fuels in the BRICS and MINT countries 2023
- Development of regression models to forecast the CO2 emissions from fossil fuels in the BRICS and MINT countries 2023
- A novel hybrid approach based on Particle Swarm Optimization and Ant Colony Algorithm to forecast energy demand of Turkey 2012
- A novel hybrid approach based on Particle Swarm Optimization and Ant Colony Algorithm to forecast energy demand of Turkey 2012
- A novel hybrid approach based on Particle Swarm Optimization and Ant Colony Algorithm to forecast energy demand of Turkey 2012
- Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio economic indicators and climatic conditions Case of Turkey 2016
- Energy consumption modeling using artificial neural networks The case of the world s highest consumers 2016
- Modeling of energy consumption based on economic and demographic factors The case of Turkey with projections 2014
- Estimates of energy consumption in Turkey using neural networks with the teaching learning based optimization algorithm 2014