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