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WADER Water Advisory Demand Evaluation & Resource Toolkit

Lead Participant: MFATECH LIMITED

Abstract

WADER is a study to determine whether Computational Intelligence can be used to analyse a mix of data inputs to produce credible predictions for clean water demand and foul water outputs in urban areas. The data input inputs will come from a variety of sources and will deliver predictions of population density and activity over 8 hours, thus providing data to the water supply services on the future demand of fresh water supplies, and the subsequent load on the waste water and sewerage systems.

Lead Participant

Project Cost

Grant Offer

MFATECH LIMITED £80,860 £ 56,602
 

Participant

DE MONTFORT UNIVERSITY HIGHER EDUCATION CORPORATION £80,804 £ 80,804

Publications

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