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Liu Hongbo

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School of Environmental Science and Engineering

Professional Title

Associate professor

Administrative Appointments

Party Secretary

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Selected Papers

Current position: Personal Profile > Academic Achievements > Selected Papers

Short-term load forecasting technique for municipal supply water consumption based on fuzzy clustering theory

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Affiliation of Author(s):School of Environment Science and Technology,Tianjin University

Journal:JOURNAL OF HARBIN INSTITUTE OF TECHNOLOGY

Key Words:municipal water supply networks;fuzzy clustering;short-term forecasting

Abstract:The uncertainty of load and influencing factors in water quantity prediction is effectively solved by using fuzzy membership degree, which greatly improves the prediction accuracy and enhances the scheduling reliability.

All the Authors:Liu Hongbo, Zhong Hongwei, Yan Jingjing

First Author:Liu Hongbo

Correspondence Author:Liu Hongbo

Volume:41

Issue:12

Page Number:162-165

Translation or Not:no

CN No.:null

Pre One:Forecast Method of City Water Consumption Per Hour Based on Artificial Fish-Swarm Neural Network

Next One:Wavelet Neural Network Forecasting Method for Water Consumption in Municipal Supply Water Networks

Address: No. 92, Weijin Road, Nankai District, Tianjin Zip Code: 300072

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