Article detail · 2011
Modeling and prediction of Turkey s electricity consumption using Support Vector Regression
YÖKSİS
OpenAlex
SJR Q1
JCR Q1
Citations 304
Top 10%
Percentile 97.4%
FWCI 7.66
- Year
- 2011
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Applied Energy
- Catalog match (ISSN) Applied Energy
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
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Topics
Citations
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304 citations
OpenAlex cited_by_count (cache / database)
84 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
- Forecasting electricity consumption A comparison of regression analysis neural networks and least squares support vector machines 2015
- Forecasting the annual electricity consumption of Turkey using an optimized grey model 2014
- Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio economic indicators and climatic conditions Case of Turkey 2016
- Using machine learning tools for forecasting natural gas consumption in the province of Istanbul 2019
- Using machine learning tools for forecasting natural gas consumption in the province of Istanbul 2019
- Forecasting Electricity Consumption with Neural Networks and Support Vector Regression 2012
- Vision 2023 Forecasting Turkey s natural gas demand between 2013 and 2030 2013
- Gross electricity consumption forecasting using LSTM and SARIMA approaches: A case study of Türkiye 2023
- Gross electricity consumption forecasting using LSTM and SARIMA approaches: A case study of Türkiye 2023