Classification of Faults in Power System with Probabilistic Neural Networks: An Imbalanced Learning Approach

Modern day grids with its inherent operating characteristics are susceptible to faults. Grid operators must detect as well as classify the current system conditions like normal or faulty from the current raw sets of measurement data available at SCADA (supervisory control and data acquisition system). With the rapid deployment of micro PMUs, faults are detected from the measurements in real time, ...