Deploying a Deep Learning-based Application for an Efficient Ther­mal Energy Storage Air-Conditioning(TES-AC)System:Design Guidelines  

作　　者：Mirza Rayana Sanzana Mostafa Osama Mostafa Abdulrazic Jing Ying Wong Chun-Chieh Yip 

机构地区：[1]Department of Civil Engineering,Faculty of Science and Engineering,University of Nottingham Malaysia,Semenyih,Selangor,43500,Malaysia [2]School of Computer Science,Faculty of Science and Engineering,University of Nottingham Malaysia,Semenyih,Selangor,43500,Malaysia [3]Department of Civil Engineering,University Tunky Abdul Rahman,Bandar Sungai Long,Cheras,Kajang,Selangor,43000,Malaysia

出　　处：《Journal of Electronic & Information Systems》2022年第2期21-29,共9页电子信息系统杂志（英文）

摘　　要：Facility management and maintenance of the Thermal-Energy-Storage Air-Conditioning(TES-AC)system is a tedious task at a large scale mainly due to the charging load that can increase energy consumption if needed to be charged at peak hours.Besides,maintenance of TES-AC at a large scale gets complex as it contains many sensor data.By utilizing deep learning techniques on the sensor data,charging load prediction can be made possible,so facility managers can prepare in advance.However,a deep learning-based application will be unusable if it is not deployed in a user-friendly manner where facility managers can benefit from this application.Hence,this research focuses on gathering design guidelines for a deep learning-based application and further validates the design considerations with a developed application for efficient human-computer interaction through qualitative analysis.The approach taken to gather design guidelines demonstrated a positive correlation between expert-suggested features and the user-friendly aspect of the application as 67.08%of participants found the features suggested by experts to be most satisfactory.Furthermore,it evaluates user satisfaction with the advanced developed application for TES-AC according to the gathered design guidelines.

关 键 词：Advanced application Deep learning Thermal-energy-storage AIR-CONDITIONER Facility management and maintenance Analysis Design guidelines 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]