Accelerating self-optimization control of refrigerant cycles with Bayesian optimization and adaptive moment estimation
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Energy Engineering and Power Technology
Reference41 articles.
1. Numerical and experimental study of the transient behavior of a domestic vapor compression refrigeration system - influence of refrigerant charge and ambient temperature;Gardenghi;Appl. Therm. Eng.,2021
2. Comparison of evaluation standards for green building in China, Britain, United States;Zhang;Renew. Sustain. Energy Rev.,2017
3. Model-free control and staging for real-time energy efficient operation of a variable refrigerant flow system with multiple outdoor units;Dong;Appl. Therm. Eng.,2020
4. Energy performance of a high-rise residential building retrofitted to passive building standard – A case study;Huang;Appl. Therm. Eng.,2020
5. Local self-optimizing control based on extremum seeking control;Zhao;Control Eng. Pract.,2020
Cited by 24 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. A novel machine learning-based artificial intelligence method for predicting the air pollution index PM2.5;Journal of Cleaner Production;2024-08
2. Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints;Journal of Process Control;2024-06
3. Classification of Massive Data Sets Using a Revolutionary Grey Wolf Optimization Algorithm and a Deep Learning Model in a Cloud-Based Setting;2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI);2023-12-21
4. Self-Optimizing Vapor Compression Cycles Online With Bayesian Optimization Under Local Search Region Constraints;Journal of Dynamic Systems, Measurement, and Control;2023-12-06
5. Extended Kalman filter based extremum seeking algorithm for model-free control of building thermal environment under uncertainty;Journal of Building Engineering;2023-11
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