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 …

Due to increasing complexity, uncertainty and data dimensions in power systems,
conventional methods often meet bottlenecks when attempting to solve decision and control …

Deep Neural Networks (DNNs) have become an essential and important supporting
technology for smart Internet-of-Things (IoT) systems. Due to the high computational costs of …

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 …

A maximum power point tracking (MPPT) technique plays an important role to ensure
maximum photovoltaic (PV) output power is extracted under stochastic weather conditions …

This paper proposes a novel bio-inspired optimization method named memetic salp swarm
algorithm (MSSA). It is developed by extending the original salp swarm algorithm (SSA) with …

Solar photovoltaic systems are widely used; however, their performance is bound to weather
conditions, depending on irradiation, temperature, and the effect of shadows. Maximum …

In general, the photovoltaic (PV) is considered as the best selection among renewable
energy resources due to its nonpolluted operation and good flexibility condition. The PV …

One of the most available energy sources in the world is solar energy, while in the category
of renewable and nonrenewable energies is in the first group. Power generation of a …

The partial shading condition (PSC) makes it challenging for the PV system to harvest
maximum power via maximum power point tracking (MPPT). Various MPPT algorithms …