Wind power forecasting based on principle component phase space reconstruction
Author:
Publisher
Elsevier BV
Subject
Renewable Energy, Sustainability and the Environment
Reference34 articles.
1. A review of combined approaches for prediction of short-term wind speed and power;Tascikaraoglu n;Renew Sustain Energy Rev,2014
2. Technical challenges associated with the integration of wind power into power systems;Georgilakis;Renew Sustain Energy Rev,2008
3. Utility wind integration and operating impact state of the art;Smith;IEEE Trans Power Syst,2007
4. The state-of-the art in short-term prediction of wind power: a literature overview;Giebel,2011
5. A review of the young history of wind power short-term prediction;Costa;Renew Sustain Energy Rev,2008
Cited by 71 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. Short-term wind power forecasting using the hybrid model of multivariate variational mode decomposition (MVMD) and long short-term memory (LSTM) neural networks;Electrical Engineering;2024-08-26
2. A positive trend in the stability of global offshore wind energy;Acta Oceanologica Sinica;2024-01
3. Nonlinear dynamic analysis of wind pressure variability on standard tall building;Advances in Structural Engineering;2023-10-20
4. A hybrid model based on LSTM neural networks with attention mechanism for short-term wind power forecasting;Wind Engineering;2023-08-21
5. A survey of long short term memory and its associated models in sustainable wind energy predictive analytics;Artificial Intelligence Review;2023-07-19
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