Borealis is a distributed stream processing engine that has been developed at Brandeis University, Brown University, and MIT. It extends the first generation of data stream processing systems with advanced capabilities such as distributed operation, scalability with timevarying load, high availability against failures, and dynamic data and query modifications. In this paper, we focus on aspects...

Streaming environments typically dictate incomplete or approximate algorithm execution, in order to cope with sudden surges in the data rate. Such limitations are even more accentuated in mobile environments (such as sensor networks) where computational and memory resources are typically limited. This paper introduces the first “resource adaptive” algorithm for periodicity estimation on a conti...

wind power generation is variable and uncertain. in the power systems with high penetration of wind power, determination of equivalent operating reserve is the main concern of systems operator. in this paper, a model is proposed to determine operating reserves in simultaneous market clearing of energy and reserve by stochastic programming based on scenarios generated via monte carlo simulation ...

The microgrid system is an answer to the necessity of increasing renewable energy penetration and also works as a bridge for the future smart grid. Considering the microgrid system applied to commercial building equipped with photovoltaic sources, the usage of a DC microgrid architecture can improve the efficiency of the system, while ensuring robustness and reducing the overall energy cost. Gi...

Over time, distribution systems have progressed from small-scale to complex networks, requiring modernization adapt these increasing levels of active loads and devices. It is essential manage the capacity networks support all new technologies. This work, therefore, presents a method for evaluating impact optimal allocation sizing DGs load shedding response demand programs on improve reliability...

This paper proposes an Optimal Power Flow (OPF) algorithm by Direct Load Control (DLC) programs to optimize the operational cost of smart grids considering various scenarios based on different constraints. The cost function includes active power production cost of available power sources and a novel flexible load curtailment cost associated with DLC programs. The load curtailment cost is based ...