Improvement in the existing hardware-software capability to connect, control and efficiently manage water/energy infrastructure in scalable and plug-n-play manner.
The proposed technological platform - comprising a set of common knowledge, theoretical approaches, mathematical models and decision support via optimization and analytical tools - that will contribute in making possible the promising environmentally sustainable smart city.
Optimization of existing energy storage technologies including machine learning and distributed energy management suitable for targeted problem domain.
Advanced technology transfer and knowledge sharing among the international group.
Distributed, flexible architecture promoting interoperability and sector coupling
Centralized planning along with distributed control
Optimal resource utility through intelligent decision-making
Increased quality of energy and water supply
Possibility of new business models involving real-time control strategies
High integration for storage systems enabling Smartness and local decision and control support
Reinforcing both scientific and business interests by developing generic solution applicable at each partner location
Map of the test site
Project test bed: Gujarat International Finance Tec-City
