Prediction of Electrical Energy Consumption of Educational Buildings in the Tropics Using Support Vector Regression (SVR)-Reference-Cited by-同舟云学术

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Prediction of Electrical Energy Consumption of Educational Buildings in the Tropics Using Support Vector Regression (SVR)

Published:2023-08-09 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS)
language:
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Author:

Rahmah Aulia¹,Suyuti Ansar²,Kitta Ikhlas²

Affiliation:

1. Hasanuddin University,Electrical Engineering Department,Makassar,Indonesia,90425

2. Hasanuddin University,Department of Electrical Engineering,Makassar,Indonesia,90425

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10335169/10335094/10335355.pdf?arnumber=10335355

Reference15 articles.

1. Southeast Asia Energy Outlook 2022

2. Vector field-based support vector regression for building energy consumption prediction

3. A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models

4. A review on optimized control systems for building energy and comfort management of smart sustainable buildings

5. Estimation Building Energy Management Toward Minimizing Energy Consumption and Carbon Emission;Parvin;Journal of Advance Manufacturing Technology (JAMT),2021

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