A framework for automatically extracting overvoltage features based on sparse autoencoder
With the development of smart grid, it is of increasing significance to identify and cope with
various types of overvoltages, faults and power quality disturbances effectively and …
various types of overvoltages, faults and power quality disturbances effectively and …
Power Quality waveform recognition using Google Image Search Engine (iPQ-Google)
Power quality diagnostics is an important tool for keeping the performance of electric smart
grids within the criteria of proper operation. Signal processing is widely used for identifying …
grids within the criteria of proper operation. Signal processing is widely used for identifying …
[PDF][PDF] Automatic Classification of Power Quality Disturbances Using Optimal Feature Selection Based Algorithm
S KHOKHAR - 2016 - eprints.utm.my
The development of renewable energy sources and power electronic converters in
conventional power systems leads to Power Quality (PQ) disturbances. This research aims …
conventional power systems leads to Power Quality (PQ) disturbances. This research aims …
Integration of Higher-Order Time-Frequency Statistics and Neural Networks: Application for Power Quality Surveillance
JC Palomares-Salas, JJG de la Rosa… - … Artificial Higher Order …, 2016 - igi-global.com
Higher-order statistics demonstrate their innovative features to characterize power quality
events, beyond the traditional and limited Gaussian perspective, integrating time-frequency …
events, beyond the traditional and limited Gaussian perspective, integrating time-frequency …