A perspective on reducing uncertainties in water distribution network operation using clusters

Lifshitz Ron, Ostfeld Avi

Research output: Contribution to conferencePaperpeer-review

Abstract

In water distribution system operation problems, a solution is often, if not always, valid for a small variety of forecasted scenarios. The number of unknown variables, such as consumer consumptions, pipe smoothness, leaks or infections makes the forecasting of the conditions in which the network operates almost impossible. On the other end, most of the solution procedures take use of deterministic models such as water and energy balance or demand patterns - and even stochastic models cannot predict the conditions for which the problem in hand is defined. This procedure of using exact solution models for inexact problems is reconsidered while a methodology of using clusters in water distribution systems is demonstrated on selected regions, utilizing simple examples as an effective tool for bridging the gap.

Original languageEnglish
StatePublished - 2017
Event15th International Conference on Computing and Control for the Water Industry, CCWI 2017 - Sheffield, United Kingdom
Duration: 5 Sep 20177 Sep 2017

Conference

Conference15th International Conference on Computing and Control for the Water Industry, CCWI 2017
Country/TerritoryUnited Kingdom
CitySheffield
Period5/09/177/09/17

Keywords

  • Cluster
  • Uncertainty
  • Water distribution systems

All Science Journal Classification (ASJC) codes

  • Water Science and Technology
  • Computer Science Applications

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