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Load forecasting for air conditioning systems using linear regression and artificial neural networks

The increasing demand for energy efficiency in industrial sectors necessitates innovative approaches to optimize energy consumption. This research addresses the challenge of accurately forecasting energy loads in air conditioning systems within the metal printing industry. Traditional forecasting m...

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Bibliographic Details
Main Authors: Zainudin, Zakaria Zikri, Yusoff, Siti Hajar, Gunawan, Teddy Surya, Mohamad, Sarah Yasmin, Chowdhury, Israth Jahan, Mohd Sapihie, Siti Nadiah
Format: Proceeding Paper
Language:English
Published: IEEE 2024
Subjects:
TK1001 Production of electric energy. Powerplants
TK2896 Production of electricity by direct energy conversion
TK4001 Applications of electric power
Online Access:http://irep.iium.edu.my/115178/7/115178_%20Load%20forecasting%20for%20air%20conditioning.pdf
http://irep.iium.edu.my/115178/
https://ieeexplore.ieee.org/document/10675547
https://doi.org/10.1109/ICSIMA62563.2024.10675547
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Internet

http://irep.iium.edu.my/115178/7/115178_%20Load%20forecasting%20for%20air%20conditioning.pdf
http://irep.iium.edu.my/115178/
https://ieeexplore.ieee.org/document/10675547
https://doi.org/10.1109/ICSIMA62563.2024.10675547

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