An innovative forecasting model to predict wind energy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-022-20971-y.pdf
Reference45 articles.
1. Cai HS Jia XD, Feng JS, Li WZ, Hsu Y-M, Lee J (2020) Gaussian process regression for numerical wind speed prediction enhancement. Renew Energy 146:2112–2123
2. Cai HS, Jia XD, Feng JS, Yang QB, Hsu Y-M, Chen YD, Lee J (2019) A combined filtering strategy for short term and long term wind speed prediction with improved accuracy. Renew Energy 136:1082–1090
3. Chen C, Liu H (2021) Dynamic ensemble wind speed prediction model based on hybrid deep reinforcement learning. Adv Eng Inform 48:101290
4. Chen XJ, Zhao J, Jia XZ, Li ZL (2021) Multi-step wind speed forecast based on sample clustering and an optimized hybrid system. Renew Energy 165(1):595–611
5. Christina S, Früh W-G (2014) Wind forecasting using principal component analysis. Renew Energy 69:365–374
Cited by 5 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. Unlocking the potential: A review of artificial intelligence applications in wind energy;Expert Systems;2024-08-27
2. Forecasting model for short-term wind speed using robust local mean decomposition, deep neural networks, intelligent algorithm, and error correction;Frontiers in Energy Research;2024-01-25
3. A novel method for predicting wind speed using data decomposition-based reformer model;Earth Science Informatics;2023-11-25
4. Hybrid forecasting system considering the influence of seasonal factors under energy sustainable development goals;Measurement;2023-04
5. Hybrid attention-based temporal convolutional bidirectional LSTM approach for wind speed interval prediction;Environmental Science and Pollution Research;2023-01-05
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