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The forecast data of the renewable energy generation and loads cannot be exactly accurate because of their intermittence and fluctuation characteristics. To handle this problem, a probabilistic chance-constrained model for day-ahead scheduling is proposed in this paper. The proposed model is established not only by the aggregated scenarios but also by the eliminated ones which are used in chance constraints...
Real-time system is playing an important role in our society. For such a system, sensitivity to timing is the central feature of system behaviors, which means tasks in the system are required to be completed before their deadlines. Currently, almost all the practical real-time systems are equipped within multiple processors, for which the schedule synthesis to make sure that all the tasks can be completed...
In real-time systems, a task is required to be completed before its deadline. When workload is heavy, the system may become overloaded. Under such condition, some tasks may miss their deadlines. To deal with this overload problem, the design of scheduling algorithm is crucial. In this paper, we focus on studying on-line scheduling for overloaded realtime systems. The objective is to maximize the total...
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