This paper presents an overview of the evolution of knowledge extraction from power
systems data since 1980's up to date. As the existing literature in this application domain is …

This paper presents an effective, Rough Set (RS) based, pattern recognition method for
rejecting interference signals and recognising Partial Discharge (PD) signals from different …

Identifying and analyzing events affecting power quality (PQ) is very important. Sudden
increases in voltages, voltage dips, and voltage harmonics represent some of the …

This paper describes the ongoing research on rough sets based classifier applied to
induction motors fault diagnosis through motor current signature analysis (MCSA). The …

This paper presents a hybrid particle swarm based methodology for solving load flow in
electrical power systems. Load flow is an electrical engineering well-known problem which …

This paper describes the ongoing research on Rough Sets based classifier applied to
Induction Motors fault diagnosis through Motor Current Signature Analysis (MCSA). The …

Knowledge acquisition is one of the most difficult tasks during the construction of an expert
system. Usually, the experts have difficulty in explaining to the knowledge engineers how …

This paper presents a comparative study between the particle Swarm Optimization and an
Eagle Foraging Particle Swarm Optimization (EFPSO) for solving load flow problems in …

In this paper it is proposed an efficient steady-state contingency classification using the
rough set theory. The developed methodology produces a classification of the system …

In smart-grid area, the devices for end-consumers are one of the most important items. This
paper presents a device developed to be installed in conventional refrigerators and freezers …