Clustering is an essential tool in data mining research and applications. It is the subject of
active research in many fields of study, such as computer science, data science, statistics …

As one step toward the future smart grid, condition monitoring is important to facilitate the
reliability of grid asset operation and to save on maintenance cost [1]. Most failures of the …

In this research, we propose two variants of the Firefly Algorithm (FA), namely inward
intensified exploration FA (IIEFA) and compound intensified exploration FA (CIEFA), for …

In modern world, we have to deal with huge volumes of data which include image, video,
text and web documents, DNA, microarray gene data, etc. Organizing such data into rational …

The development of renewable energies and smart mobility has profoundly impacted the
future of the distribution grid. An increasing bidirectional energy flow stresses the assets of …

The analysis of partial discharge (PD) signals has been identified as a standard diagnostic
tool for monitoring the condition of different electrical apparatuses. This study proposes an …

The demand for cable diagnostics and monitoring techniques has increased significantly in
recent decades. Various diagnostic tests such as partial discharge, dielectric loss, and …

Partial discharge (PD) detection is an effective way to find defects and diagnose the
insulation condition of power equipment. During manufacturing and operating, there may …

While the salience of social media platforms on modern interactive communication between
diverse social actors has been demonstrated, less academic attention has been paid to …

Partial discharge (PD) measurement is an efficient method for condition monitoring of
insulation in high‐voltage (HV) power apparatus. Generally, phase‐resolved PD (PRPD) …