[HTML][HTML] Applications of artificial intelligence to photovoltaic systems: A review
HF Mateo Romero, MÁ González Rebollo… - Applied Sciences, 2022 - mdpi.com
This article analyzes the relationship between artificial intelligence (AI) and photovoltaic
(PV) systems. Solar energy is one of the most important renewable energies, and the …
(PV) systems. Solar energy is one of the most important renewable energies, and the …
A powerful meta-heuristic search algorithm for solving global optimization and real-world solar photovoltaic parameter estimation problems
The teaching-learning-based artificial bee colony (TLABC) is a new hybrid swarm-based
metaheuristic search algorithm. It combines the exploitation of the teaching learning-based …
metaheuristic search algorithm. It combines the exploitation of the teaching learning-based …
Boosting quantum rotation gate embedded slime mould algorithm
The slime mould algorithm is an interesting swarm-based algorithm proposed in 2020 based
on this entity's trajectory finding abilities in nature. It simulates slime mould movement …
on this entity's trajectory finding abilities in nature. It simulates slime mould movement …
Artificial bee colony algorithm based on adaptive neighborhood search and Gaussian perturbation
Artificial bee colony (ABC) is a type of popular swarm intelligence optimization algorithm. It is
widely concerned because of its easy implementation, few parameters and strong global …
widely concerned because of its easy implementation, few parameters and strong global …
Fractional-order artificial bee colony algorithm with application in robot path planning
Y Cui, W Hu, A Rahmani - European Journal of Operational Research, 2023 - Elsevier
Artificial bee colony (ABC) algorithm is a popular meta-heuristic optimization algorithm
inspired by the foraging behaviors of honeybees. Although ABC has outstanding exploration …
inspired by the foraging behaviors of honeybees. Although ABC has outstanding exploration …
Dealing with multi-modality using synthesis of Moth-flame optimizer with sine cosine mechanisms
Evolutionary population-based methods have found their applications in dealing with many
real-world simulation experiments and mathematical modelling problems. The Moth-flame …
real-world simulation experiments and mathematical modelling problems. The Moth-flame …
A population diversity-controlled differential evolution for parameter estimation of solar photovoltaic models
The cleanliness and renewability of photovoltaic (PV) system make it stand out as a
promising energy source. However, limited by the developments of PV equipment, the …
promising energy source. However, limited by the developments of PV equipment, the …
[HTML][HTML] Metaphor-free dynamic spherical evolution for parameter estimation of photovoltaic modules
W Zhou, P Wang, AA Heidari, X Zhao, H Turabieh… - Energy Reports, 2021 - Elsevier
How to effectively realize the simulation, evaluation, and control of the photovoltaic (PV)
system established on the actual measured voltage and current PV cells and module data …
system established on the actual measured voltage and current PV cells and module data …
[HTML][HTML] Equivalent-circuit-intervened deep learning metasurface
Recently, some advanced computer algorithms, including the inverse design method based
on deep learning, have been widely applied to design versatile electromagnetic devices …
on deep learning, have been widely applied to design versatile electromagnetic devices …
An improved bat algorithm hybridized with extremal optimization and Boltzmann selection
As a meta-heuristic algorithm, bat algorithm (BA) is based on the characteristics of bat-based
echolocation and has been widely used in various aspects of optimization problems since it …
echolocation and has been widely used in various aspects of optimization problems since it …