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This integrates previously isolated systems as well as supply and demand side optimizations and interventions to improve system performance across various indicators.

This knowledge base reuses GIS data alongside dynamic sensor data, social concepts and inference rules. This paper therefore presents a novel cloud platform which unifies clean and waste systems to deliver demand responsive water management within a service oriented architecture integrating state of the art sensing and analytic components through a semantic knowledge base. These aim to improve system operation through intelligent sensing, integration of system components, ICT penetration, active users and data-driven management through advanced analytics.

Beyond improved system components and localised optimisations, research is approaching this task through methods of 'smart' water management, which utilizes the 'whole-system intelligence' paradigm popularised through the 'smart grid' and 'smart city' phrases. Even in locations of water abundance, the energy consumption of clean and foul water systems mandates efficient management and wastage minimization. Efficient urban water management is an increasingly pressing challenge due to growing population density, and competing pressures towards business objectives and sustainability, both in terms of water conservation and energy expenditure.

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