Short Term Load Forecasting Using Machine Learning Algorithms: A Case Study in Turkey-Reference-Cited by-同舟云学术

Short Term Load Forecasting Using Machine Learning Algorithms: A Case Study in Turkey

Published:2022-10-26 Issue: Volume: Page:
ISSN:
Container-title:2022 Global Energy Conference (GEC)
language:
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Author:

Purlu Mikail¹,Andic Cenk²,Turkay Belgin Emre²,Nobari Ali Ghadiriasl²

Affiliation:

1. Sivas Cumhuriyet University,Department of Electrical and Electronics Engineering,Sivas,Turkey

2. Istanbul Technical University,Department of Electrical Engineering,Istanbul,Turkey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9986512/9986518/09986779.pdf?arnumber=9986779

Reference26 articles.

1. Deep Learning Based Load Forecasting for Futuristic Sustainable Smart Grid;s;2022 International Conference on Electronics and Renewable Systems (ICEARS),2022

2. Short-Term Load Forecasting of Energy Internet Based on Energy Consumption Structure

3. A Comparative Analysis of Various Stochastic approaches for Short Term Load Forecasting

4. A Performance Comparison of Machine Learning Algorithms for Load Forecasting in Smart Grid

5. Research on Load Prediction Based on Improve GWO and ELM in Cloud Computing

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