Air Pollutants Prediction in Shenzhen Based on ARIMA and Prophet Method

Ye，Ziyuan

10.1051/e3sconf/201913605001

2019-12-09

2555-0403

2267-1242

E3S Web of Conferences

136

In order to improve the accuracy of predicting the air pollutants in Shenzhen, a hybrid model based on ARIMA (Autoregressive Integrated Moving Average model) and prophet for mixing time and space relationships was proposed. First, ARIMA and Prophet method were applied to train the data from 11 air quality monitoring stations and gave them different weights. Then, finished the calculation about weight of impact in each air quality monitoring station to final results. Finally, built up the hybrid model and did the error evaluation. The result of the experiments illustrated that this hybrid method can improve the air pollutants prediction in Shenzhen.

第一 ; 通讯

英语

EI

20195207900413

Air quality ; Historic preservation ; Energy conservation ; Pollution control

Air Pollution Control:451.2 ; Energy Conservation:525.2

2-s2.0-85076786291

Scopus

Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen, Guangzhou,518000,China

Ye，Ziyuan. Air Pollutants Prediction in Shenzhen Based on ARIMA and Prophet Method[C],2019.