On the Limitations of Machine Learning (ML) Methodologies in Predicting the Wake Characteristics of Wind Turbines
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-4360-7_2
Reference14 articles.
1. Kabir IFSA, Ng EYK (2019) Effect of different atmospheric boundary layers on the wake characteristics of NREL Phase VI wind turbine. Renew Energy 130:1185–1197
2. Kabir IFSA, Safiyullah F, Ng EYK, Tam VW (2020) New analytical wake models based on artificial intelligence and rivalling the benchmark full-rotor CFD predictions under both uniform and ABL inflows. Energy 193:116761
3. Ti Z, Deng XW, Yang H (2020) Wake modeling of wind turbines using machine learning. Appl Energy 257:114025
4. Ti Z, Deng XW, Zhang M (2021) Artificial Neural Networks based wake model for power prediction of wind farm. Renew Energy 184:405–420
5. Purohit S, Ng EYK, Kabir IFSA (2021) Evaluation of three potential machine learning algorithms for predicting the velocity and turbulence intensity of a wind turbine wake. Renew Energy 184:405–420
Cited by 3 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. Machine Learning-Based Approach to Wind Turbine Wake Prediction under Yawed Conditions;Journal of Marine Science and Engineering;2023-11-04
2. Decision-Support Algorithm for Agronomic Practices: A Software Approach for Modeling Mechanized Tillage Planning;Decision Support Systems (DSS) and Tools [Working Title];2023-07-06
3. Novel interpretable wake model using Machine Learning based symbolic regression for wind turbines;2023 2nd International Conference on Advanced Electronics, Electrical and Green Energy (AEEGE);2023-05-26
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