Multi-task learning method for classification of multiple power quality disturbances

In this study, the authors propose a multi-task learning with deconvolution network (MTL-DN) method for the multi-label classification of multiple power quality disturbances (MPQDs). First, the labels of MPQDs are assigned to three groups corresponding to three learning tasks and the label correlations among various PQDs are utilised in the joint learning of interrelated tasks. A weighted joint lo...