Feature optimization with metaheuristics for Artificial Neural Network-based chiller power prediction

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Feature optimization with metaheuristics for Artificial Neural Network-based chiller power prediction

Building energy efficiency is crucial for global sustainability efforts, with chillers representing major energy consumers in commercial buildings. Accurate prediction of chiller power consumption remains challenging due to complex operational parameters, with feature selection being critical for mo...

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Bibliographic Details
Main Authors:	Nor Farizan, Zakaria, Mohd Herwan, Sulaiman, Zuriani, Mustaffa
Format:	Article
Language:	English
Published:	Elsevier LTD 2025
Subjects:	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/44263/ http://umpir.ump.edu.my/id/eprint/44263/1/Feature%20Optimization%20with%20Metaheuristics%20for%20Artificial%20Neural%20Network-based%20Chiller%20Power%20Prediction.pdf

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