this paper presents a novel method to calculate the reference source current and the referencecompensating current for shunt active power filters (sapfs). this method first calculates theamplitude and phase of the fundamental load current from a recursive algebraic approach blockbefore calculating the displacement power factor. next, the amplitude of the reference mains currentis computed with ...

Classification problems and their corresponding solving approaches constitute one of the fields of machine learning. The application of classification schemes in Renewable Energy (RE) has gained significant attention in the last few years, contributing to the deployment, management and optimization of RE systems. The main objective of this paper is to review the most important classification al...

With rapid development of wind power technologies and significant growth of worldwide installed capacity of wind power, wind energy conversion system has become a focal point in the research of renewable energy sources. This paper provides comprehensive reviews of past and present power electronics converter topologies applicable to various wind turbine systems with different generators. An ove...

This paper presents a new power quality event classification technique using wavelet transform and logistic model tree. The proposed method uses the samples of three cycle duration of three line voltage of power quality events. The features of these samples are obtained by using the wavelet transform and a few different feature extraction techniques. The sequential forward selection method base...

conclusions categorization of trials based on their classification scheme to investigate the efficacy of classification-based physical therapy could reduce the heterogeneity of trials and allow researchers to understand the contradictory results in this context. results a total of 12 rcts were identified and categorized into four classification schemes. some evidence supporting classification-s...

A new event detection scheme for power quality analysis based on the statistical analysis of adaptive decomposition signals is proposed. Proposed scheme is implemented using MATLAB Simulink DSP Blockset. The combination of an adaptive prediction filter based subband decomposition structure with a rule based histogram analysis block produced successful detection and classification results on ou...

Classifying power quality (PQ) disturbances is one of the most important issues for power quality control. A novel high-performance classification system based on the S-transform and a probabilistic neural network (PNN) is proposed. The original power quality signals are analysed by the S-transform and processed into a complex matrix named the S-matrix. Eighteen types of time–frequency features...

A novel information identification model is proposed to support accurate classification tasks with mixtures of categorical and real-valued attributes. This model combines the advantages of rough set theory and cluster validity method to promote the classification quality to the higher levels. Real-valued attribute values are pre-processed by fuzzy c-means clustering method and then analyzed by ...