Power systems based on centralized production are facing two limitations: the lack of fossil
fuels and the need to reduce pollution; Therefore, the importance of distributed generation …

This paper proposes an ensemble Random Subspace (RS) classifier for discrimination of
High Impedance Fault (HIF) in photovoltaic connected power network. The design and …

Brake fault diagnosis is a crucial aspect of enhancing driving safety, as various faults such
as air in brake fluid, brake oil spill, reservoir leak, mechanical fade and distinct types of …

Faulty feeder detection is essential for maintaining the security and stability of energy supply
in distribution networks. However, it is rather difficult to identify a specific faulty feeder owing …

This paper investigated a multi-variable power quality disturbance identification algorithm
(MPQDIA) applying the Stockwell transform (ST), Hilbert transform (HT) and rule based …

This study proposes SVM based Random Subspace (RS) ensemble classifier to
discriminate different Power Quality Events (PQEs) in a photovoltaic (PV) connected …

This paper proposes heterogeneous based ensemble Classifiers (voting and stacking
method) to identify and classify different power system disturbances (power quality (PQ) …

Microgrids (MGs) integrate various dynamic energy sources, often making it challenging for
traditional control techniques to manage these complexities. This study addresses key …

The wide-ranging use of renewable energy sources (RES) in the modern era leads to the
association of distributed non-conventional energy resources in contrary to large-scale and …

As the penetration rate of new energy generation in distributed distribution networks
continues to increase, the integration of numerous new energy power plants and associated …