Photovoltaic (PV) fault detection and classification are essential in maintaining the reliability
of the PV system (PVS). Various faults may occur in either DC or AC side of the PVS. The …

Solar energy has received great interest in recent years, for electric power generation.
Furthermore, photovoltaic (PV) systems have been widely spread over the world because of …

Reservoir level control in hydroelectric power plants has importance for the stability of the
electric power supply over time and can be used for flood control. In this sense, this paper …

Regional integrated system (RIES) bridges the gaps among different energy systems by
various energy conversion equipment. While this integration brings forth numerous benefits …

Artificial intelligence (AI) hardware accelerator is an emerging research for several
applications and domains. The hardware accelerator's direction is to provide high …

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

Solar energy from photovoltaic systems (PV) ranks as the third greatest renewable electricity
generation resource, expanding quickly through the years as it is free from environmental …

In the current era, Artificial Intelligence (AI) is becoming increasingly pervasive with
applications in several applicative fields effectively changing our daily life. In this scenario …

PV systems are prone to external environmental conditions that affect PV system operations.
Visual inspection of the impacts of faults on PV system is considered a better practice rather …

As global photovoltaic (PV) power generation capacity rapidly expands, efficient and
effective health management of PV systems has emerged as a critical focal point. With the …