Experimental implementation of artificial neural network for cost effective and non-intrusive performance estimation of air conditioning systems-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Experimental implementation of artificial neural network for cost effective and non-intrusive performance estimation of air conditioning systems

Published:2020-11 Issue: Volume:181 Page:115985
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Sholahudin ,Giannetti Niccolo,Yamaguchi Seiichi,Saito Kiyoshi,Miyaoka Yoichi,Tanaka Katsuhiko,Ogami Hiroto

Funder

Indonesia Endowment Fund for Education

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference30 articles.

1. A hybrid decision support system for sustainable office building renovation and energy performance improvement;Juan;Energy Build.,2010

2. Achieving better energy-efficient air conditioning – A review of technologies and strategies;Chua;Appl. Energy,2013

3. A review of heating, ventilation and air conditioning technologies and innovations used in solar-powered net zero energy Solar Decathlon houses;Ma;J. Cleaner Prod.,2019

4. Review of research on air-conditioning systems and indoor air quality control for human health;Yu;Int. J. Refrig.,2009

5. A control method using adaptive setting of electronic expansion valve for water chiller systems equipped with variable speed compressors;Al-Badri;Int. J. Refrig.,2020

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Leveraging artificial neural networks for air humidity measurement in air conditioning systems;Building and Environment;2024-05

2. Implementation of scalable performance monitoring method for air conditioners;Applied Thermal Engineering;2024-05

3. An empirical model of a split-type inverter air conditioner for building energy simulation;Applied Thermal Engineering;2024-01

4. Experimental verification of artificial neural network scalability for performance monitoring of multi-split type air conditioners;Journal of Building Engineering;2023-10

5. Development of a method for predicting the transient behavior of an absorption chiller using artificial intelligence methods;Applied Thermal Engineering;2023-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3