Charging water load prediction for a thermal-energy-storage air-conditioner of a commercial building with a multilayer perceptron

Charging water load prediction for a thermal-energy-storage air-conditioner of a commercial building with a multilayer perceptron

This research focuses on the development of a machine learning model for predicting the water volume that needs to be chilled in Thermal-Energy-Storage-Air-Conditioning (TES-AC) systems. TES-AC technology uses thermal energy storage tanks to store and distribute chilled water during peak hours, redu...

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Bibliographic Details
Main Authors: Sanzana, Mirza Rayana, Abdulrazic, Mostafa Osama Mostafa, Wong, Jing Ying, Maul, Tomas, Yip, Chun-Chieh
Format: Article
Language:English
Published: Elsevier Ltd 2023
Subjects:
deep learning (DL) ; facility management (FM) ; facility management and maintenance (FMM) ; heating ventilation and air conditioning (HVAC) ; deep neural networks ; multi layer perceptron
Online Access:https://eprints.nottingham.ac.uk/80566/

Internet

https://eprints.nottingham.ac.uk/80566/

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