Artificial neural networks for the performance prediction of heat pump hot water heaters
Author:
Affiliation:
1. Solar & Other Energy Systems Laboratory, NCSR ‘DEMOKRITOS’, Agia Paraskevi Attikis, Greece
2. Mechanical Engineering Department, University of Western Macedonia, Kozani, Greece
Publisher
Informa UK Limited
Subject
Fluid Flow and Transfer Processes,Process Chemistry and Technology,General Energy,Fuel Technology,Renewable Energy, Sustainability and the Environment
Link
https://www.tandfonline.com/doi/pdf/10.1080/14786451.2016.1218495
Reference50 articles.
1. Calculation of the energy provided by a PV generator. Comparative study: Conventional methods vs. artificial neural networks
2. Solar radiation estimation using artificial neural networks
3. Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks
4. Neural networks?a new approach to model vapour-compression heat pumps
5. Energy conservation in buildings through efficient A/C control using neural networks
Cited by 26 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. Electric Water Boiler Energy Prediction: State-of-the-Art Review of Influencing Factors, Techniques, and Future Directions;Energies;2024-01-16
2. Solar air heater performance prediction using artificial neural network technique with relevant input variables;Archives of Thermodynamics;2023-07-26
3. Optimized Machine Learning-Based Forecasting Model for Solar Power Generation by Using Crow Search Algorithm and Seagull Optimization Algorithm;Arabian Journal for Science and Engineering;2023-05-03
4. MATHEMATICAL AND NUMERICAL SIMULATION OF THE THERMALLY HARDENED COATED MACHINE SURFACES;International Journal of Modern Manufacturing Technologies;2022-12-20
5. Optimized Machine Learning based forecasting model for Solar Power Generation by using Crow Search Algorithm and Seagull Optimization Algorithm;2022-10-25
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