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akaturk Academic measurement

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 Systems

ISSN 0142-0615

The ISSN points to another catalog journal; the name is from the YÖKSİS record.

YÖKSİS OpenAlex SJR Q1 JCR Q1 Citations 490 Top 10% Percentile 98.9% FWCI 11.56
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

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.

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).

  1. Artificial neural network approach for monthly air temperature estimations and maps 2023 Citations 109 · OpenAlex
  2. Gross electricity consumption forecasting using LSTM and SARIMA approaches: A case study of Türkiye 2023 Citations 109 · OpenAlex
  3. Neural network approach with teaching-learning-based optimization for modeling and forecasting long-term electric energy demand in Turkey 2017 Citations 88 · OpenAlex
  4. Application of Long Short-Term Memory (LSTM) Neural Network Based on Deep Learning for Electricity Energy Consumption Forecasting 2022 Citations 56 · OpenAlex
  5. Application of Long Short-Term Memory (LSTM) Neural Network Based on Deep Learning for Electricity Energy Consumption Forecasting 2022 Citations 56 · OpenAlex
  6. Application of Long Short-Term Memory (LSTM) Neural Network Based on Deep Learning for Electricity Energy Consumption Forecasting 2022 Citations 56 · OpenAlex
  7. 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 Citations 56 · OpenAlex
  8. Long short-term memory (LSTM) neural network and adaptive neuro-fuzzy inference system (ANFIS) approach in modeling renewable electricity generation forecasting 2021 Citations 47 · OpenAlex
  9. Long short-term memory (LSTM) neural network and adaptive neuro-fuzzy inference system (ANFIS) approach in modeling renewable electricity generation forecasting 2021 Citations 47 · OpenAlex
  10. Long short-term memory (LSTM) neural network and adaptive neuro-fuzzy inference system (ANFIS) approach in modeling renewable electricity generation forecasting 2021 Citations 47 · OpenAlex

Authors

  1. KAYTEZ FAZIL
  2. MÜSLÜM CENGİZ TAPLAMACIOĞLU
  3. ERTUĞRUL ÇAM SAMSUN ÜNİVERSİTESİ
  4. FIRAT HARDALAÇ