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Water 2018, 10(1), 2; https://doi.org/10.3390/w10010002

Estimation of Non-Revenue Water Ratio Using MRA and ANN in Water Distribution Networks

Department of Civil & Environmental Engineering, Incheon National University, Incheon 22012, Korea
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Received: 19 November 2017 / Revised: 16 December 2017 / Accepted: 18 December 2017 / Published: 21 December 2017
(This article belongs to the Special Issue Advances in Water Distribution Networks)
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Abstract

The non-revenue water (NRW) ratio in water distribution networks is the ratio of losses from unbilled authorized consumption and apparent and real losses to the total water supply. NRW is an important parameter for prioritizing the improvement of a water distribution system and identifying the influencing parameters. Though the method using multiple regression analysis (MRA) is a statistical analysis method for estimating the NRW ratio using the main parameters of a water distribution system, it has disadvantages in that the accuracy is low compared to the measured NRW ratio. In this study, an artificial neural network (ANN) was applied to estimate the NRW ratio to improve assessment accuracy and suggest an efficient methodology to identify related parameters of the NRW ratio. When using an ANN with the optimal number of neurons, the accuracy of estimation was higher than that of conventional statistical methods, as with MRA. View Full-Text
Keywords: non-revenue water; multiple regression analysis; artificial neural network; water distribution network non-revenue water; multiple regression analysis; artificial neural network; water distribution network
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Jang, D.; Choi, G. Estimation of Non-Revenue Water Ratio Using MRA and ANN in Water Distribution Networks. Water 2018, 10, 2.

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