This article analyzes the relationship between artificial intelligence (AI) and photovoltaic
(PV) systems. Solar energy is one of the most important renewable energies, and the …

To efficiently and accurately track the Global Maximum Power Point (GMPP) of the PV
system under Varying Environmental Conditions (VECs), numerous hybrid Maximum Power …

This paper presents an offline trained artificial neural network (ANN)-assisted perturb and
observe (P &O) algorithm to track the global maximum power of a solar PV under partial …

It is one of the topics that have been studied extensively on maximum power point tracking
(MPPT) recently. Traditional or soft computing methods are used for MPPT. Since soft …

This paper presents an innovative way to enhance the performance of photovoltaic (PV)
arrays under uneven shadowing conditions. The study focuses on a triple-series–parallel …

Distribution generation (DG), energy storage systems (ESS), distributed reactive sources
(DRS), and resilient loads that may operate in both linked and isolated modes form the …

The need for renewable energy resources is ever-increasing due to the concern for
environmental issues associated with fossil fuels. Low-cost high-power-density …

This article focuses on the global maximum power point (GMPP) tracking by a unique curve
tracing approach, for a partially shaded condition of a solar photovoltaic (PV) array. The …

Renewable energy sources are particularly significant in global energy production, with
wind and solar being the most prevalent sources. Managing the simultaneous connection of …

Research into renewable energies is expanding quickly, especially photovoltaic (PV)
systems. PV systems are employed extensively in several renewable energy applications …