In the last decade, artificial intelligence (AI) techniques have been extensively used for
maximum power point tracking (MPPT) in the solar power system. This is because …

The output power–voltage (P–V) curve of a solar photovoltaic (PV) power system shows a
single peak under an even irradiation environment, nevertheless, but often exhibits seriously …

The uncertainty associated with modeling and performance prediction of solar photovoltaic
systems could be easily and efficiently solved by artificial intelligence techniques. During the …

A substantial level of significance has been placed on renewable energy systems,
especially photovoltaic (PV) systems, given the urgent global apprehensions regarding …

This paper presents a comprehensive overview on various maximum power point tracking
(MPPT) techniques, which have been recently designed, simulated and/or experimentally …

Maximum power point tracking (MPPT) represents one of the significant challenges for
designing photovoltaic (PV) systems. Thus, an effective MPPT method of solar panels is …

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

Solar power is considered one of the most common renewable energy sources. However,
the effective harnessing of maximum solar energy in photovoltaic (PV) systems faces a …

The photovoltaic (PV) system has attracted attention in recent years for generating more
power and freer from pollution and being eco-friendly to the environment. Nonetheless, the …

A novel statistical performance evaluation of most modern optimization-based global MPPT
techniques for partially shaded PV system is presented in this paper. In recent years, there …