This paper is designed to undertake a comprehensive review on state-of-the-art maximum
power point tracking (MPPT) methods of photovoltaic (PV) systems under partial shading …

An intricate issue suffered by photovoltaic systems is partial shading condition (PSC) which
is an unavoidable and complex problem. It degrades the maximum power generation and …

Establishing accurate and reliable models based on the measured data for photo-voltaic
(PV) modules are significant to design, control and evaluate the PV systems. Although many …

Feature selection represents an essential pre-processing step for a wide range of Machine
Learning approaches. Datasets typically contain irrelevant features that may negatively …

Under partial shading condition, the power-voltage curve of the photovoltaic (PV) system
contains several maximum power points (MPPs). Among these points, there is only single …

This paper uses the Butterfly Optimization Algorithm (BOA) with dominated sorting and
crowding distance mechanisms to solve multi-objective optimization problems. There is also …

Artificial intelligence based maximum power point tracking (MPPT) techniques play an
essential role in improving the efficiency of photovoltaic power conversion systems. Over the …

Equilibrium Optimizer (EO) is a new search algorithm inspired by the balance state of a
simple and dynamic mass that is well-mixed on the region of the control volume. In this …

The search for powerful optimizers has led to the development of a multitude of
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …

The butterfly optimization algorithm (BOA) is a recent successful metaheuristic swarm-based
optimization algorithm. The BOA has attracted scholars' attention due to its extraordinary …