AQI Prediction Model of Shijiazhuang City Based on Multivariate Time Series Analysis

Author:

Zhu Xuemin1,Liu Sheng1,Zhu Xuelin2

Affiliation:

1. Shanghai University Of Engineering Science,School of Management,Shanghai,China

2. Beijing University of International Business and Economics,School of Information,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference7 articles.

1. An improved ARIMAX method for cargo throughput forecast-taking Tianjin Port as an example [J];xiangqian;Journal of Operations Management,2022

2. Based on multiple linear regression equation, the establishment and effect evaluation of AQI forecast model for four seasons in Anshun City [J];qing;Science and Technology Wind,2022

3. AQI prediction model of Hebi city based on time series analysis [J];yanfei;China-Arab Science and Technology Forum (English and Chinese),2022

4. Application of ARIMA model in the prediction of air quality index in Suzhou [J];jianshu;Public Health and Preventive Medicine,2019

5. Application of multiple linear regression method in AQI analysis of air quality index [J];yunzhi;Coal Mine Electromechanical,2019

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1. Ensemble Learning with Hybrid Modelling for Multivariate AQI, PM2.5, and PM10 Forecasting in Mumbai;2023 International Conference on Computer Science and Emerging Technologies (CSET);2023-10-10

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