Load Estimation of Different Types of Domestic Users Using Machine Learning Methods and Optimal Battery Sizing-Reference-Cited by-同舟云学术

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Load Estimation of Different Types of Domestic Users Using Machine Learning Methods and Optimal Battery Sizing

Published:2023-11-30 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 14th International Conference on Electrical and Electronics Engineering (ELECO)
language:
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Author:

Ünal Ümit Can¹,İrek Hakan¹,Sancar Semanur²,Erenoğlu Ayşe Kübra³

Affiliation:

1. Fatih Sultan Mehmet Vakif University,Dept. of Electrical and Electronics Engineering,Istanbul,Turkey

2. Foton Energy,Dept. of Engineering,Istanbul,Turkey

3. Yildiz Technical University,Dept. of Electrical Engineering,Istanbul,Turkey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10415861/10415862/10415994.pdf?arnumber=10415994

Reference26 articles.

1. A Short-Term Household Load Forecasting Framework Using LSTM and Data Preparation

2. Deep Green: Modelling Time-Series of Software Energy Consumption

3. Improving forecasting accuracy of daily enterprise electricity consumption using a random forest based on ensemble empirical mode decomposition

4. Random forests model for one day ahead load forecasting

5. Short Term Load Forecasting Using XGBoost

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