Demand side management (DSM) consists of planning, executing, and controlling activities to reduce electricity consumption. By using demand response (DR), customers help during peak times. Consumer participation in DSM depends on his behaviour. behaviour is determined by factors such as lifestyle, price, consumption tariff, contract type etc. Thus, affecting the consumer's should be considered ...

This paper describes the semantics of Quantum, a language that was speci cally designed to control resource consumption of distributed computations, such as mobile agent style applications. In Quantum, computations can be driven by mastering their resource consumption. Resources can be understood as processors cycles, geographical expansion, bandwidth or duration of communications, etc. We adop...

This paper describes the semantics of Quantum, a language that was speciically designed to control resource consumption of distributed computations , such as mobile agent style applications. In Quantum, computations can be driven by mastering their resource consumption. Resources can be understood as processors cycles, geographical expansion , bandwidth or duration of communications, etc. We ad...

This project work aims to develop a dynamic slack management technique, for real-time distributed embedded systems to reduce the total energy consumption in addition to timing, precedence and resource constraints. The Slack Distribution Technique proposed considers a modified Feedback Control Scheduling (FCS) algorithm. This algorithm schedules dependent tasks effectively with precedence and re...

(Green Mountain Power), Carl Weinberg (Weinberg and Associates) and three anonymous referees for their helpful comments. Thanks also to John Stevens (Sandia National Laboratories) for his support of the analytical portions of this work and to Christy Herig (National Renewable Energy Laboratory) for her support of the software development portions this work. ABSTRACT Distributed resources, such ...

Resource allocation plays a central role in networked systems such as smart grids, communication networks, and urban transportation systems. In these systems, many constraints have physical meaning infeasible allocations can result system breakdown. Hence, algorithms with asymptotic feasibility guarantees be insufficient since they cannot ensure that an implementable solution is found finite ti...