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

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

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 i...

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Main Author: Zhou Xu
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/68/e3sconf_netid21_01025.pdf
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spelling doaj-1ac2e4dc3e1548eea85ba5b9d9ca06042021-09-21T15:15:58ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012920102510.1051/e3sconf/202129201025e3sconf_netid21_01025Analysis and Prediction of Water Consumption in Nanjing—A Comparative Study Based on Stepwise Regression and Nonparametric ModeZhou Xu0College of Finance and Public Economics, Shanxi University of Finance and EconomicAccurate 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/68/e3sconf_netid21_01025.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Zhou Xu
spellingShingle Zhou Xu
Analysis and Prediction of Water Consumption in Nanjing—A Comparative Study Based on Stepwise Regression and Nonparametric Mode
E3S Web of Conferences
author_facet Zhou Xu
author_sort Zhou Xu
title Analysis and Prediction of Water Consumption in Nanjing—A Comparative Study Based on Stepwise Regression and Nonparametric Mode
title_short Analysis and Prediction of Water Consumption in Nanjing—A Comparative Study Based on Stepwise Regression and Nonparametric Mode
title_full Analysis and Prediction of Water Consumption in Nanjing—A Comparative Study Based on Stepwise Regression and Nonparametric Mode
title_fullStr Analysis and Prediction of Water Consumption in Nanjing—A Comparative Study Based on Stepwise Regression and Nonparametric Mode
title_full_unstemmed Analysis and Prediction of Water Consumption in Nanjing—A Comparative Study Based on Stepwise Regression and Nonparametric Mode
title_sort analysis and prediction of water consumption in nanjing—a comparative study based on stepwise regression and nonparametric mode
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2021-01-01
description 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.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/68/e3sconf_netid21_01025.pdf
work_keys_str_mv AT zhouxu analysisandpredictionofwaterconsumptioninnanjingacomparativestudybasedonstepwiseregressionandnonparametricmode
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