Application of Time Series-Exponential Smoothing Model on Urban Water Demand Forecasting

机译：时间序列指数平滑模型在城市需水量预测中的应用

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Based on the traditional time series methods, this paper researched a time seriesexponential smoothing model that is built by SPSS statistical analysis software. In the application of the model, the original data of water consumption were in processed by a particular smoothing method first.Secondly, the processed data were used to build a time series-exponential smoothing model. On error test, we found that this forecasting model has advantages of better effect, high precision and minor error on urban water demand forecasing.

机译：在传统时间序列方法的基础上，研究了由SPSS统计分析软件建立的时间序列指数平滑模型。在该模型的应用中，首先通过一种特殊的平滑方法对水耗的原始数据进行处理。其次，利用处理后的数据建立时间序列指数平滑模型。在误差测试中，我们发现该预测模型对城市需水预测具有较好的效果，较高的精度和较小的误差。

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《International conference on environmental biotechnology and materials engineering;EBME 2011》|2011年|p.1158-1162|共5页
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Liu Junliang; Chen Xu; Zhang Tiejian;
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中图分类环境生物学;环境生物学;
关键词
Water Demand Forecasting; SPSS; Time series; exponential smoothing; Forecasting Model;

机译：需水预测; SPSS;时间序列;指数平滑;预测模型;

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1. Application of a Combination Model Based on Wavelet Transform and KPLS-ARMA for Urban Annual Water Demand Forecasting [J] . Lili Huang, Chi Zhang, Yong Peng, Journal of Water Resources Planning and Management . 2014,第8期

机译：基于小波变换和KPLS-ARMA的组合模型在城市年需水量预测中的应用
2. Forecasting Hourly Water Demands With Seasonal Autoregressive Models for Real-Time Application [J] . Chen Jinduan, Boccelli Dominic L. Water resources research . 2018,第2期

机译：实时季节性季节性自动预测模型预测每小时需水量
3. Part 2: Artificial neural network applications in drinking water supply / Partie 2 : les applications des réseaux neuronaux artificiels à l'approvisionnement en eau potable - Implementing artificial neural network models for real-time water colour forecasting in a water treatment plant [J] . Zhang Qing J., Cudrak Audrey A., Shariff Riyaz, Journal of Environmental Engineering and Science . 2004,第Supplementa1期

机译：第2部分：人工神经网络在饮用水供应中的应用/第2部分：人工神经网络在饮用水供应中的应用-为水处理厂中的实时水色预测实现人工神经网络模型
4. Application of Time Series-Exponential Smoothing Model on Urban Water Demand Forecasting [C] . Liu Junliang, Chen Xu, Zhang Tiejian International Conference on Environmental Biotechnology and Materials Engineering . 2011

机译：时间序列 - 指数平滑模型在城市水需求预测上的应用
5. Development and validation of time series forecasting models for wastewater treatment applications. [D] . Liao, Shih-Jen. 1998

机译：开发和验证废水处理应用的时间序列预测模型。
6. Forecasting the Water Demand in Chongqing China Using a Grey Prediction Model and Recommendations for the Sustainable Development of Urban Water Consumption [O] . Hua’an Wu, Bo Zeng, Meng Zhou 2017

机译：灰色预测模型预测重庆市的需水量及城市用水可持续发展的建议
7. Forecasting Hourly Water Demands With Seasonal Autoregressive Models for Real‐Time Application [O] . Jinduan Chen, Dominic L. Boccelli 2018

机译：用季节性自动评级模型预测每小时的水需求进行实时应用

Application of Time Series-Exponential Smoothing Model on Urban Water Demand Forecasting

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