W. Hao, Yilin Wang, Chenheng Xu, Huang Xuan, Pengyuan Xu
{"title":"基于EMA的光伏建筑集成板块指数发展趋势的相关性分析与检验","authors":"W. Hao, Yilin Wang, Chenheng Xu, Huang Xuan, Pengyuan Xu","doi":"10.1109/ICESIT53460.2021.9696869","DOIUrl":null,"url":null,"abstract":"Under the goal of peak carbon dioxide emissions and carbon neutrality, how to achieve carbon neutrality in the construction industry with the label of “major carbon emitters” has attracted much attention, and the integration of building photovoltaics is welcoming, and its application scenarios are expanding gradually. In this paper, a processing and forecasting model of the integrated photovoltaic building model is established. Firstly, the standard moving average model is established, and the moving average line of the plate index from April 1,2019 to April 30,2021,2021 is drawn. Then the covariance matrix method is used to analyze the correlation between the Shanghai Composite Index and the integration of photovoltaic building. Through the correlation analysis of the end-point factors under MATLAB environment, the best correlation between them is solved. In this paper, the association model, prediction model and optimization model are integrated, and the constraints conditions of the optimization model are obtained through correlation analysis and prediction.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Correlation Analysis and Test of the Development Trend of Photovoltaic Building Integration Plate Index Based on EMA\",\"authors\":\"W. Hao, Yilin Wang, Chenheng Xu, Huang Xuan, Pengyuan Xu\",\"doi\":\"10.1109/ICESIT53460.2021.9696869\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Under the goal of peak carbon dioxide emissions and carbon neutrality, how to achieve carbon neutrality in the construction industry with the label of “major carbon emitters” has attracted much attention, and the integration of building photovoltaics is welcoming, and its application scenarios are expanding gradually. In this paper, a processing and forecasting model of the integrated photovoltaic building model is established. Firstly, the standard moving average model is established, and the moving average line of the plate index from April 1,2019 to April 30,2021,2021 is drawn. Then the covariance matrix method is used to analyze the correlation between the Shanghai Composite Index and the integration of photovoltaic building. Through the correlation analysis of the end-point factors under MATLAB environment, the best correlation between them is solved. In this paper, the association model, prediction model and optimization model are integrated, and the constraints conditions of the optimization model are obtained through correlation analysis and prediction.\",\"PeriodicalId\":164745,\"journal\":{\"name\":\"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICESIT53460.2021.9696869\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICESIT53460.2021.9696869","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Correlation Analysis and Test of the Development Trend of Photovoltaic Building Integration Plate Index Based on EMA
Under the goal of peak carbon dioxide emissions and carbon neutrality, how to achieve carbon neutrality in the construction industry with the label of “major carbon emitters” has attracted much attention, and the integration of building photovoltaics is welcoming, and its application scenarios are expanding gradually. In this paper, a processing and forecasting model of the integrated photovoltaic building model is established. Firstly, the standard moving average model is established, and the moving average line of the plate index from April 1,2019 to April 30,2021,2021 is drawn. Then the covariance matrix method is used to analyze the correlation between the Shanghai Composite Index and the integration of photovoltaic building. Through the correlation analysis of the end-point factors under MATLAB environment, the best correlation between them is solved. In this paper, the association model, prediction model and optimization model are integrated, and the constraints conditions of the optimization model are obtained through correlation analysis and prediction.