Integration of photovoltaic (PV) systems, desalination technologies, and Artificial Intelligence
(AI) combined with Machine Learning (ML) has introduced a new era of remarkable …

An effective MPPT approach plays a significant role in increasing the efficiency of a PV
system. Solar energy is a rich renewable energy source that is supplied to the earth in …

In this paper, an algorithm for the maximum extraction of energy generated by photovoltaic
(PV) systems was presented. The tracking of the global maximum point of the system is …

Solar photovoltaic systems are the most abundant renewable energy source and the
cleanest type of solar-derived electrical energy. During the usage, the formation of multiple …

This research work emphasizes proposing a hybrid social grouping algorithm (SGA) and
perturb and observe (P&O) scheme for tracking the global power peak in a partially shaded …

Introduction. For the efficient use of non-traditional and renewable sources of electrical
energy, it is necessary to ensure their operation at the maximum power point, which is …

A maiden attempt was made to utilize a novel hybrid meta-heuristic algorithm named radial
movement optimization with arithmetic optimization algorithm (HRMO-AOA) for the …

Coverings have an important impact on the output and safety of photovoltaic (PV) modules.
However, due to the complex on-site environment and difficult identification, it is difficult to …

This research article introduces advanced control strategies for grid-connected hybrid
renewable energy systems, focusing on a doubly fed induction machine (DFIM) based wind …

This article proposes a hybrid method that combines the self-adaptive neural network
(SANN) and incremental conductance (IC) algorithm for maximum power point tracking …