Accurate online classification of disturbance events in a transmission network is an important part wide-area monitoring. Although many conventional machine learning techniques are very successful classifying events, they rely on extracting information from PMU data at control centers and processing them through CPU/GPUs, which highly inefficient terms energy consumption. To solve this challeng...

with the development of restructured power systems and increase of prices in some hours of day and increase fuel price, demand response programs were noticed more by customers. demand response consists of a series of activities that governments or utilities design to change the amount or time of electric energy consumption, to achieve better social welfare or some times for maximizing the benef...

Power-aware computing aims either to maximise the performance of a system under certain constraints on its power consumption and dissipation or, dually, to reduce power consumption in order to meet desired performance or throughput targets. This area is currently gaining importance due to the increasing usage of portable, mobile and hand-held electronic devices. In this paper we illustrate the ...

With the development of restructured power systems and increase of prices in some hours of day and increase fuel price, demand response programs were noticed more by customers. demand response consists of a series of activities that governments or utilities design to change the amount or time of electric energy consumption, to achieve better social welfare or some times for maximizing the benef...

In this paper we present a scalable, parallel computing system consisting of specialized processors primarily designed for the implementation of cryptanalytic algorithms. Even though the system was developed in regard to solve cryptanalytic problems, it is suitable for many other tasks which can benefit from the enormous computing power of the system (e.g. malware analysis). In addition to the ...