[HTML][HTML] A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under …
This article presents a comparative analysis of the latest swarm-based optimization
approaches under partial shading conditions (PSCs) for maximum power point tracking …
approaches under partial shading conditions (PSCs) for maximum power point tracking …
State-of-the-art review of MPPT techniques for hybrid PV-TEG systems: Modeling, methodologies, and perspectives
B Yang, R **e, J Duan, J Wang - Global Energy Interconnection, 2023 - Elsevier
The development of alternative renewable energy technologies is crucial for alleviating
climate change and promoting energy transformation. Of the currently available …
climate change and promoting energy transformation. Of the currently available …
[HTML][HTML] Temperature distribution modeling of PV and cooling water PV/T collectors through thin and thick cooling cross-fined channel box
Many aspects relating to thermal, economic, and reliability challenges are involved while
designing a Photovoltaic/Thermal (PV/T) system under high performance. When compared …
designing a Photovoltaic/Thermal (PV/T) system under high performance. When compared …
Migration-based moth-flame optimization algorithm
Moth–flame optimization (MFO) is a prominent swarm intelligence algorithm that
demonstrates sufficient efficiency in tackling various optimization tasks. However, MFO …
demonstrates sufficient efficiency in tackling various optimization tasks. However, MFO …
An improved moth-flame optimization algorithm with adaptation mechanism to solve numerical and mechanical engineering problems
Moth-flame optimization (MFO) algorithm inspired by the transverse orientation of moths
toward the light source is an effective approach to solve global optimization problems …
toward the light source is an effective approach to solve global optimization problems …
Efficient energy valley optimization approach for reconfiguring thermoelectric generator system under non-uniform heat distribution
A thermoelectric generator (TEG) suffers from low conversion efficiency, especially when it
has been operated under non-uniform temperature distribution. Dynamic reconfiguration is …
has been operated under non-uniform temperature distribution. Dynamic reconfiguration is …
Enhancing feature selection with GMSMFO: A global optimization algorithm for machine learning with application to intrusion detection
The paper addresses the limitations of the Moth-Flame Optimization (MFO) algorithm, a meta-
heuristic used to solve optimization problems. The MFO algorithm, which employs moths' …
heuristic used to solve optimization problems. The MFO algorithm, which employs moths' …
Performance enhancement of grid-tied PV system through proposed design cooling techniques: An experimental study and comparative analysis
In this paper, two different cost-effective cooling techniques with new designs are proposed
and experimentally evaluated to enhance the performance of solar PV system. The first …
and experimentally evaluated to enhance the performance of solar PV system. The first …
[HTML][HTML] A low-grade heat Organic Rankine Cycle driven by hybrid solar collectors and a waste heat recovery system
Against the backdrop of the ever growing scientific and public interest in locating alternative
sources of clean energy, geared toward the overarching objective of mitigating the harmful …
sources of clean energy, geared toward the overarching objective of mitigating the harmful …
[HTML][HTML] An improved moth-flame optimization algorithm for engineering problems
Y Li, X Zhu, J Liu - Symmetry, 2020 - mdpi.com
In this paper, an improved moth-flame optimization algorithm (IMFO) is presented to solve
engineering problems. Two novel effective strategies composed of Lévy flight and …
engineering problems. Two novel effective strategies composed of Lévy flight and …