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As smart grid operations will leverage Advanced Metering Infrastructure AMII) to drive more real time decision making and operational activities, complex event processing and stream computing are needed for the modern smart grid.
Within the European project CI-NERGY,22 which aims, among the rest, at developing urban decision making and operational optimisation software tools to minimise non-renewable energy use in cities, the municipalities of Vienna in Austria and Geneva in Switzerland were chosen as case studies for their very ambitious sustainability goals.
Questions of feasibility and uncertainty, however, will be continual points of debate in policy making and operational planning.
Within previous research, a distinction can be drawn between administrative linkages related to shared decision making and operational linkages focusing on supporting physicians in practicing medicine.
Despite such limitations, we believe that the findings presented here emphasize the utility of combining simulation modeling and ambulatory data collection, and highlight the considerable value to be gained in model building, decision making and operational prioritization by adding duration-based measures into surveillance.
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The interim report, which focuses on regulatory purpose, leadership, governance, decision-making and operational management at the NMC, calls for the body's values and core purpose to be articulated throughout the organisation, so that all employees and stakeholders understand its direction.
As smart grid operations will leverage advanced metering infrastructure to drive more real time decision-making and operational activities, complex event processing and stream computing are needed for the modern smart grid.
The desirability of contact-duration measures for modeling, decision-making, and operational prioritization has broader health surveillance implications.
Our finding could provide an evidence-based reference for policy-making and the operational design of the management model that we proposed.
A hierarchical algorithm is also proposed based on the decoupling of different decision-making levels (strategic and operational) in the problem.
Characterizing drought in categories similar to USDM would be important for decision making for both research and operational purposes.
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