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

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.

本研究开展两类分析工作。第一项分析针对基于深度学习的蓄能空调（Thermal-Energy-Storage Air-Conditioning，TES-AC）应用开展质性内容分析，以收集设计需求。随后开展第二项分析，以验证所开发的应用，该应用采用了初始研究中专家拟定的设计指南。