Identifying Typical Urban Water Demand Patterns for a Reliable Short-term Forecasting – The Icewater Project Approach

Author:

Candelieri A.,Archetti F.

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference32 articles.

1. T. Hill, G. Symmonds, The Smart Grid for Water: How Data Will Save Our Water and Your Utility, Ingram Pub Services, 2013.

2. P.C.D. Milly, J. Betancourt, M. Falkenmark, R.M. Hirsch, Z.W. Kundzewicz, D.P. Lettenmaier, R.J. Stouffer, Stationarity is dead: whither water management?, Science, 319 (2008).

3. Urban Water Demand Forecasting Using the Stochastic Nature of Short Term Historical Water Demand and supply Pattern;Mamo T.G.;Journal of Water Resource and Hydraulic Engineering,2013

4. Better water quality and higher energy efficiency by using model predictive flow control at water supply systems;Bakker;Journal of Water Supply: Research and technology – AQUA,2013

5. L.A. House-Peters, H. Chang, Urban water demand modeling: review of concepts, methods, and organizing principles, Water Resources Research 47 (2011) W05401.

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