Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China

Research Article

Analysis and Prediction of Water Consumption in Nanjing—A Comparative Study Based on Stepwise Regression and Nonparametric Mode

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  • @INPROCEEDINGS{10.4108/eai.9-12-2022.2327557,
        author={Zhou  Xu},
        title={Analysis and Prediction of Water Consumption in Nanjing---A Comparative Study Based on Stepwise Regression and Nonparametric Mode},
        proceedings={Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China},
        publisher={EAI},
        proceedings_a={MSIEID},
        year={2023},
        month={3},
        keywords={urban annual water consumption stepwise regression nonparametric regression prediction},
        doi={10.4108/eai.9-12-2022.2327557}
    }
    
  • Zhou Xu
    Year: 2023
    Analysis and Prediction of Water Consumption in Nanjing—A Comparative Study Based on Stepwise Regression and Nonparametric Mode
    MSIEID
    EAI
    DOI: 10.4108/eai.9-12-2022.2327557
Zhou Xu1,*
  • 1: Shanxi University of Finance and Economic
*Contact email: 178905695@qq.com

Abstract

Accurate prediction of urban water consumption is of great significance to the management and improvement of water supply system. In this thesis, through correlation analysis on 16 factors affecting total water consumption in Nanjing from 2005 to 2019, the factors among them that have more obvious influence are selected, and then they are fitted by stepwise linear regression model and nonparametric regression model respectively. By comparing the fitting results, it is found that nonparametric regression model has better prediction effect than stepwise regression model. The analysis results show that the prediction of urban water consumption is very important for the rational allocation of water resources.