基于光伏阵列传感器间相关性的数据生成方法

Zekai Lee, Linyu Wang, Yongshen Wen, Ruixin Tang, Yiliang Fan, Xin Liang, Yu Nan, Ruiqing Song
{"title":"基于光伏阵列传感器间相关性的数据生成方法","authors":"Zekai Lee, Linyu Wang, Yongshen Wen, Ruixin Tang, Yiliang Fan, Xin Liang, Yu Nan, Ruiqing Song","doi":"10.1109/ICWAPR48189.2019.8946479","DOIUrl":null,"url":null,"abstract":"As the consumption of the fossil fuel and the other unrenewable energy, the renewable energy gradually cause the high attention and become a tendency of the power production. In the solar industry, the prediction of the solar irradiation intensity is an important procedure during the photovoltaic power generation. But sometimes the solar data, which could be used to predict the future power generation case and hold the economic operation, is difficult to capture because the actual geographical environment, where is not allowed to put up the sensor. In order to solve this dilemma, this paper proposes a method of the data generation, which mainly consist of three factors. Through the comparison of the actual solar irradiation intensity data and the generated data with the method, the error is in the permitted range, which means the validity of the method.","PeriodicalId":436840,"journal":{"name":"2019 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data Generation Method Based on Correlation Between Sensors in Photovoltaic Arrays\",\"authors\":\"Zekai Lee, Linyu Wang, Yongshen Wen, Ruixin Tang, Yiliang Fan, Xin Liang, Yu Nan, Ruiqing Song\",\"doi\":\"10.1109/ICWAPR48189.2019.8946479\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As the consumption of the fossil fuel and the other unrenewable energy, the renewable energy gradually cause the high attention and become a tendency of the power production. In the solar industry, the prediction of the solar irradiation intensity is an important procedure during the photovoltaic power generation. But sometimes the solar data, which could be used to predict the future power generation case and hold the economic operation, is difficult to capture because the actual geographical environment, where is not allowed to put up the sensor. In order to solve this dilemma, this paper proposes a method of the data generation, which mainly consist of three factors. Through the comparison of the actual solar irradiation intensity data and the generated data with the method, the error is in the permitted range, which means the validity of the method.\",\"PeriodicalId\":436840,\"journal\":{\"name\":\"2019 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWAPR48189.2019.8946479\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWAPR48189.2019.8946479","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

随着化石燃料和其他不可再生能源的消耗,可再生能源逐渐引起人们的高度重视,成为电力生产的一种趋势。在太阳能工业中,太阳辐照强度的预测是光伏发电过程中的一个重要环节。但有时太阳能数据,可以用来预测未来的发电情况和保持经济运行,很难捕获,因为实际的地理环境,不允许在哪里设置传感器。为了解决这一困境,本文提出了一种数据生成方法,该方法主要由三个因素组成。通过将实际太阳辐照强度数据与该方法生成的数据进行对比,误差在允许范围内,说明该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Generation Method Based on Correlation Between Sensors in Photovoltaic Arrays
As the consumption of the fossil fuel and the other unrenewable energy, the renewable energy gradually cause the high attention and become a tendency of the power production. In the solar industry, the prediction of the solar irradiation intensity is an important procedure during the photovoltaic power generation. But sometimes the solar data, which could be used to predict the future power generation case and hold the economic operation, is difficult to capture because the actual geographical environment, where is not allowed to put up the sensor. In order to solve this dilemma, this paper proposes a method of the data generation, which mainly consist of three factors. Through the comparison of the actual solar irradiation intensity data and the generated data with the method, the error is in the permitted range, which means the validity of the method.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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