Prediction of PM2.5 Concentration Based on Multiple Linear Regression

被引：0
|
作者：
Chen, Jing [1 ]
Wang, Jianbo [1 ]
机构：
[1] Meteorol Technol & Equipment Ctr Hunan Prov, Changsha 410007, Hunan, Peoples R China
来源：
2019 INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA) | 2019年
关键词：
PM2.5; MULTIPLE LINEAR REGRESSION MODEL;
D O I：
10.1109/icsgea.2019.00109
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
With the frequent occurrence of haze weather, the concentration prediction of PM2.5, the main pollutant in haze weather, has gradually become a hot topic. Based on the analysis of historical data of PM2.5 and related weather information in Changsha City, this paper establishes a multivariate linear regression model to predict the concentration of PM2.5. The validity of the model is verified by comparing the predicted value with the observed value. The model has a good application value for the prediction of PM2.5 concentration.
引用
收藏
页码：457 / 460
页数：4
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