Charging water load prediction with a multilayer perceptron for an efficient facility management and maintenance of thermal-energy-storage air-conditioning

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Charging water load prediction with a multilayer perceptron for an efficient facility management and maintenance of thermal-energy-storage air-conditioning

This research addresses the challenges in Thermal-Energy-Storage-Air-Conditioning (TES-AC) systems by developing a machine learning model for predicting the necessary water volume for chilling. TES-AC technology, utilizing thermal energy storage tanks, offers substantial benefits such as reduced chi...

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Bibliographic Details
Main Author:	Sanzana, Mirza Rayana
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2024
Subjects:	multilayer perceptron thermal energy storage air conditioning machine learning neural networks
Online Access:	https://eprints.nottingham.ac.uk/77243/

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