Article detail · 2015
Forecasting electricity consumption A comparison of regression analysis neural networks and least squares support vector machines
Journal
International Journal of Electrical Power & Energy SystemsISSN 0142-0615
The ISSN points to another catalog journal; the name is from the YÖKSİS record.
- Year
- 2015
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue International Journal of Electrical Power & Energy Systems
- Catalog match (ISSN) International Journal of Electrical Power and Energy Systems
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
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Topics
Citations
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490 citations
OpenAlex cited_by_count (cache / database)
54 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
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- Gross electricity consumption forecasting using LSTM and SARIMA approaches: A case study of Türkiye 2023
- Neural network approach with teaching-learning-based optimization for modeling and forecasting long-term electric energy demand in Turkey 2017
- Application of Long Short-Term Memory (LSTM) Neural Network Based on Deep Learning for Electricity Energy Consumption Forecasting 2022
- Application of Long Short-Term Memory (LSTM) Neural Network Based on Deep Learning for Electricity Energy Consumption Forecasting 2022
- Application of Long Short-Term Memory (LSTM) Neural Network Based on Deep Learning for Electricity Energy Consumption Forecasting 2022
- Optimization and Modeling of Tetracycline Removal from Wastewater by Three-Dimensional Electrochemical System: Application of Response Surface Methodology and Least Squares Support Vector Machine 2020
- Long short-term memory (LSTM) neural network and adaptive neuro-fuzzy inference system (ANFIS) approach in modeling renewable electricity generation forecasting 2021
- Long short-term memory (LSTM) neural network and adaptive neuro-fuzzy inference system (ANFIS) approach in modeling renewable electricity generation forecasting 2021
- Long short-term memory (LSTM) neural network and adaptive neuro-fuzzy inference system (ANFIS) approach in modeling renewable electricity generation forecasting 2021