{"title":"考虑到汽车保有量，预测北京氮氧化物排放量","authors":"Bin Fu, Lifeng Wu","doi":"10.1109/GSIS.2017.8077695","DOIUrl":null,"url":null,"abstract":"The relationship between NOx emissions and the size of car ownership in Beijing is discussed. To accurately predict NOx emissions, the linear model with the principle of new information priority is proposed and its property is proved. The comparisons with different approaches for predicting NOx emissions indicate that the proposed model exhibits a higher forecasting performance.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"518 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Forecasting NOx emissions in beijing considering the size of car ownership\",\"authors\":\"Bin Fu, Lifeng Wu\",\"doi\":\"10.1109/GSIS.2017.8077695\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The relationship between NOx emissions and the size of car ownership in Beijing is discussed. To accurately predict NOx emissions, the linear model with the principle of new information priority is proposed and its property is proved. The comparisons with different approaches for predicting NOx emissions indicate that the proposed model exhibits a higher forecasting performance.\",\"PeriodicalId\":425920,\"journal\":{\"name\":\"2017 International Conference on Grey Systems and Intelligent Services (GSIS)\",\"volume\":\"518 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Grey Systems and Intelligent Services (GSIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GSIS.2017.8077695\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSIS.2017.8077695","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Forecasting NOx emissions in beijing considering the size of car ownership
The relationship between NOx emissions and the size of car ownership in Beijing is discussed. To accurately predict NOx emissions, the linear model with the principle of new information priority is proposed and its property is proved. The comparisons with different approaches for predicting NOx emissions indicate that the proposed model exhibits a higher forecasting performance.
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