Adaptive Resonance Theory, or ART, is a cognitive and neural theory of how the brain
autonomously learns to categorize, recognize, and predict objects and events in a changing …

Transient stability is a prominent aspect of power system stability and therefore instability
prediction has been the subject of a vast amount of research and many publications. In the …

This research develops a weighted evolving fuzzy neural network for monthly electricity
demand forecasting in Taiwan. This study modifies the evolving fuzzy neural network …

This paper presents a method for automatic detection and classification of voltage
disturbances for problems related to power quality using signal processing techniques and …

This paper investigates the use of multi-layered perceptron (MLP) neural network (NN) for
assessing the transient stability of a power system considering the detailed models for the …

Transient stability assessment (TSA) of large power systems by the conventional method is a
time consuming task. For each disturbance many nonlinear equations should be solved that …

Enhancing penetration of wind turbines in the modern power grids, the assessment of the
transient stability has changed to a more complicated issue. This paper proposes an …

School dropout is one of the most complex and crucial problems in the field of education. It
permeates the several levels and teaching modalities and has generated social, economic …

The growth of utilisation of wind turbines in the contemporary power systems, the transient
stability (TS) evaluation has turned to a challenging issue in the modern power grids. An …

The present study proposes a methodology for the automatic diagnosis of short-circuit faults
in distribution systems using modern techniques for signal analysis and artificial intelligence …