Time Series Analysis and Forecasting of Wind Turbine Data

Sriramalakshmi P, V. Subhasree, Srimathnath Thejasvi Vondivillu, Sanjeev Prakash L
{"title":"Time Series Analysis and Forecasting of Wind Turbine Data","authors":"Sriramalakshmi P, V. Subhasree, Srimathnath Thejasvi Vondivillu, Sanjeev Prakash L","doi":"10.1109/PECCON55017.2022.9850973","DOIUrl":null,"url":null,"abstract":"This article uses the Internet of Things and Data Analytics for interpreting and forecasting wind and wind turbine data, along with understanding the structure and functioning of conventional wind turbines. Using Simulink, a small-scale wind turbine is designed. Open- source wind data is used for time series analysis and forecasting. To apply and test the simulations, a hardware prototype is built.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PECCON55017.2022.9850973","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This article uses the Internet of Things and Data Analytics for interpreting and forecasting wind and wind turbine data, along with understanding the structure and functioning of conventional wind turbines. Using Simulink, a small-scale wind turbine is designed. Open- source wind data is used for time series analysis and forecasting. To apply and test the simulations, a hardware prototype is built.
风力机数据的时间序列分析与预测
本文使用物联网和数据分析来解释和预测风力和风力涡轮机数据,以及了解传统风力涡轮机的结构和功能。利用Simulink设计了小型风力发电机。开放源码的风数据被用于时间序列分析和预测。为了应用和测试仿真,建立了硬件样机。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信