The parameter identification problem of photovoltaic (PV) models is classified as a complex
nonlinear optimization problem that cannot be accurately solved by traditional techniques …

In recent decades, there has been a surge in demand for the development of renewable
energies, leading to extensive research efforts focused on the gasification process …

This paper presents a proposed three-step methodology designed to enhance the
performance and efficiency of industrial systems by integrating Digital Twins with particle …

In this paper, a non-zero-sum game model based on a multi-objective evaluation model was
adopted to solve the dynamic task allocation problem of underwater multiple Autonomous …

This research introduces a pioneering Energy Management System (EMS) for microgrids,
integrating fuzzy neural networks and a modified particle swarm optimization (MPSO) …

In this article, a new human-based metaheuristic algorithm named Dollmaker Optimization
Algorithm (DOA) is introduced, which imitates the strategy and skill of the dollmaker when …

The complexity of equivalent circuit models of photovoltaic cells and modules poses a
difficult task to the parameter extraction methods. Teaching-learning-based optimization …

Aiming at the problems of high dimensionality, multi-constraint, multi-phase, non-linearity,
and the fact that the established model is not easy to solve for the optimal scheduling of …

Effective parameter extraction is crucial in modeling and analyzing complex systems,
particularly photovoltaic (PV) cells/modules. Therefore, it is essential to develop a robust …

Colon adenocarcinoma (COAD) is a type of colon cancers with a high mortality rate. Its early
symptoms are not obvious, and its late stage is accompanied by various complications that …