Comprehensive Review on Uncertainty in Wind Power Forecasting-Models and Challenges
Author:
Affiliation:
1. MNIT Jaipur,Electrical Engineering Department,India
2. MNIT Jaipur,Center for Energy and Environment,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10046418/10046430/10046605.pdf?arnumber=10046605
Reference28 articles.
1. Integrating the Spatial Autocorrelation Structure of Irregularly Distributed Wind Measurement Stations to Model Wind Patterns Using R
2. Uncertainty Modeling and Analysis in Engineering and the Sciences
3. Calibration Procedures and Uncertainty in Wind Power Anemometers
4. Power performance testing according to IEC 61400-12-2, 2017: Comparing the four methods;zeron,2018
5. Large-scale inverse problems and quantification of uncertainty;biros,2011
Cited by 2 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. The Impact of the Weather Forecast Model on Improving AI-Based Power Generation Predictions through BiLSTM Networks;Electronics;2024-09-01
2. Short-term Wind Energy Forecasting with Advanced Recurrent Neural Network Models: A Comparative Study;2023 IEEE 10th Jubilee Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE);2023-04-27
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