Artificial intelligence implementation framework development for building energy saving
Author:
Affiliation:
1. Department of Energy and Refrigerating Air‐Conditioning Engineering National Taipei University of Technology Taipei Taiwan
2. Internet of Things Laboratory, Teleco Labs, Chunghwa Telecom Co. Ltd Taoyuan Taiwan
Funder
Ministry of Science and Technology, Taiwan
Publisher
Wiley
Subject
Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.5839
Reference121 articles.
1. Artificial Intelligence-Assisted Heating Ventilation and Air Conditioning Control and the Unmet Demand for Sensors: Part 1. Problem Formulation and the Hypothesis
2. Optimal heating control in a passive solar commercial building
3. Application of artificial neural network to predict the optimal start time for heating system in building
4. Artificial neural networks to predict daylight illuminance in office buildings
5. The prediction of heating energy consumption in a model house by using artificial neural networks in Denizli–Turkey
Cited by 17 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. Infrared signal-based implementation of model-based predictive control (MPC) for cost saving in a campus building;Energy;2024-10
2. The Importance of AI-Enabled Internet of everything Services for Smart Home Management;International Journal on Smart Sensing and Intelligent Systems;2024-04-01
3. Construction of Intelligent Building Automation Control System Based on Fuzzy Clustering Algorithm;2023 International Conference on Internet of Things, Robotics and Distributed Computing (ICIRDC);2023-12-29
4. Artificial intelligence enabled energy-efficient heating, ventilation and air conditioning system: Design, analysis and necessary hardware upgrades;Applied Thermal Engineering;2023-11
5. Design of Equipment Automation Control and Remote Supervision System Based on Artificial Intelligence Algorithm;2023 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC);2023-09-25
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