Comparative study of stochastic wind speed prediction models

A. Agrawal, K. Sandhu
{"title":"Comparative study of stochastic wind speed prediction models","authors":"A. Agrawal, K. Sandhu","doi":"10.1109/IICPE.2014.7115784","DOIUrl":null,"url":null,"abstract":"Global weather concerns have diverted the researchers to look out for clean and green energy sources. The wind power has been utilized since old days for applications such as pumping water, grain grinding mills, driving ships, etc. However, due to its uneven nature, wind energy has never been a choice of power engineers. With the inherent variability of wind due to fluctuating weather conditions, wind speed prediction techniques play a vital role in determining the feasibility of esteemed wind power projects. Modern weather forecasting involves a combination of analyzed data, computer models, knowledge of trends and patterns. In this paper various short-term statistical wind speed forecasting techniques have been analyzed and focused upon.","PeriodicalId":206767,"journal":{"name":"2014 IEEE 6th India International Conference on Power Electronics (IICPE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 6th India International Conference on Power Electronics (IICPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICPE.2014.7115784","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Global weather concerns have diverted the researchers to look out for clean and green energy sources. The wind power has been utilized since old days for applications such as pumping water, grain grinding mills, driving ships, etc. However, due to its uneven nature, wind energy has never been a choice of power engineers. With the inherent variability of wind due to fluctuating weather conditions, wind speed prediction techniques play a vital role in determining the feasibility of esteemed wind power projects. Modern weather forecasting involves a combination of analyzed data, computer models, knowledge of trends and patterns. In this paper various short-term statistical wind speed forecasting techniques have been analyzed and focused upon.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
随机风速预报模式的比较研究
对全球气候的担忧使研究人员转向寻找清洁和绿色能源。自古以来,风力就被用于抽水、磨粮、驱动船舶等用途。然而,由于其不均匀的性质,风能从未成为电力工程师的选择。由于天气条件波动导致风的内在变异性,风速预测技术在确定风电项目可行性方面起着至关重要的作用。现代天气预报包括分析数据、计算机模型、趋势和模式知识的结合。本文对各种短期统计风速预报技术进行了分析和重点讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Experimental implementation of Doubly Fed Induction Generator based Standalone Wind Energy Conversion System Real time implementation and comparison of PI and modified Inc Cond control algorithms for solar applications Mathematical modeling of composite filter for power quality improvement of Electric Arc Furnace distribution network Real-time simulation of photovoltaic panel on miniature full spectrum simulator Optimized rotor slot shape for squirrel cage induction motor in electric propulsion application
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1