Deep Learning based Thermal Energy Storage Air-Conditioning Application- Responses for Design Considerations

Published: 12 September 2022| Version 1 | DOI: 10.17632/9k8pwkxd6j.1
Contributors:
Mirza Rayana Sanzana,

Description

Two types of analysis were conducted. The initial study involved qualitative content analysis for deep learning-based Thermal-Energy-Storage Air-Conditioning (TES-AC) application to gather design requirements. Then another study was conducted to validate the developed application that involved the design guidelines from the initial study from the experts.

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Institutions

University of Nottingham - Malaysia Campus

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Survey

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