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This paper presents a generalized pruning extreme learning machine (GP-ELM) algorithm which can generate a compact single-hidden-layer neural network (SLNN) by automatically pruning the number of hidden nodes iteratively while keep high accuracy. The proposed GP-ELM algorithm initializes a SLNN by using extreme learning algorithm (ELM) algorithm given superfluous number of hidden nodes. The following...
A Support Vector Machine (SVM) based approach for microgrid islanding decision and control is investigated. The IEEE 13-feeder system is modified and serves as the microgrid model connected to Kundur four-machine two-area system that models the main transmission grid. A representative data set is obtained through simulations in MATLAB/Simulink considering multiple typical scenarios with or without...
This paper proposes a passive islanding detection technique for distributed generations in grid-connected microgrids and presents a comprehensive comparative analysis of intelligent classifiers for passive islanding detection application. The proposed method utilizes pattern recognition techniques in classification of underlying signatures of wide variety of system events on critical system parameters...
This paper proposes a passive islanding detection technique for microgrid. The proposed technique relies on capturing the underlying signatures of a wide variety of system events on critical system parameters through the utilization of pattern recognition tools for islanding detection in a microgrid. The proposed technique is tested on a microgrid model implemented on IEEE 13-node distribution feeder...
This paper proposes a decision tree (DT)-based systematic approach for cooperative online power system dynamic security assessment (DSA) and preventive control. This approach adopts a new methodology that trains two contingency-oriented DTs on a daily basis by the databases generated from power system simulations. Fed with real-time wide-area measurements, one DT of measurable variables is employed...
Ant-Miner is an Ant Colony Optimization algorithm for classification task. This paper proposes an improved version of Ant-Miner, named mAnt-Miner+, which is based on mAnt-Miner (Ant-Miner that uses a population of many ants). mAnt-Miner+ uses a simple and invariable heuristic strategy, that avoids it easily trapping in the local optimal solution and improves the efficiency of the algorithm. mAnt-Miner+...
Social network site is now becoming one of the most popular applications, almost everyone has his own social network account, information recommendation is one of the key technologies in today's data mining field. According to user's features, auto classification is the key to this problem. The users has many different features, based on statistics, this paper proposed a new way to recognize the user's...
In the use of a wearable GPS and cellular tracker for applications such as elderly tracking, device power consumption is an important consideration. To save power, assisted GPS (AGPS) location fixes should not be performed frequently. On the other hand, we also do not want to lose important information about the user's mobility patterns and routines. To solve this dilemma, in this paper, we present...
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