Photovoltaic (PV) technologies are expected to play an increasingly important role in future
energy production. In parallel, machine learning has gained prominence because of a …

To ensure the continuity of electric power generation for photovoltaic systems, condition
monitoring frameworks are subject to major enhancements. The continuous uniform delivery …

Fault detection and diagnosis (FDD) in the photovoltaic (PV) array has become a challenge
due to the magnitudes of the faults, the presence of maximum power point trackers, non …

In this paper, we consider a machine learning approach merged with statistical testing
hypothesis for enhanced fault detection performance in photovoltaic (PV) systems. The …

This paper presents the maximum power point tracking (MPPT) technique for increasing the
output voltage of the photovoltaic (PV) system. In order to increase the output voltage of the …

This paper describes a power factor improvement of canonical switching converter for BLDC
motor by using voltage follower technique. In this paper (BLCSC) Bridge Less Canonical …

This paper proposes a simple, cost effective and efficient brushless DC (BLDC) motor drive
for solar photovoltaic (SPV) array fed water pum** system. A zeta converter is utilized in …

Renewable energy, particularly solar power, is crucial for tackling environmental issues.
Photovoltaic (PV) systems efficiently convert sunlight into clean electricity but require …

Albeit the government buoy up the penetration of renewable energy sources (RES)
particularly solar photovoltaic (PV) system, the dependency on fossil fuels is still growing …

Fuel cell provides ultra clean, high efficient electric energy rather than other energy
resources. It is suitable for hybrid electric vehicle application since it does not emit any …