An investigation on hybrid particle swarm optimization algorithms for parameter optimization of PV cells
The demands for renewable energy generation are progressively expanding because of
environmental safety concerns. Renewable energy is power generated from sources that …
environmental safety concerns. Renewable energy is power generated from sources that …
Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review
Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
image segmentation that can efficiently resolve difficulties aroused while analyzing the …
[HTML][HTML] Improved bald eagle search algorithm for global optimization and feature selection
The use of metaheuristics is one of the most encouraging methodologies for taking care of
real-life problems. Bald eagle search (BES) algorithm is the latest swarm-intelligence …
real-life problems. Bald eagle search (BES) algorithm is the latest swarm-intelligence …
MMKE: Multi-trial vector-based monkey king evolution algorithm and its applications for engineering optimization problems
Monkey king evolution (MKE) is a population-based differential evolutionary algorithm in
which the single evolution strategy and the control parameter affect the convergence and the …
which the single evolution strategy and the control parameter affect the convergence and the …
[HTML][HTML] A novel AI approach for optimal deployment of EV fast charging station and reliability analysis with solar based DGs in distribution network
The transportation sector is one of the most prevalent fossil fuel users worldwide. Therefore,
to mitigate the impacts of carbon-dioxide emissions and reduce the use of non …
to mitigate the impacts of carbon-dioxide emissions and reduce the use of non …
[HTML][HTML] Parameters identification of photovoltaic models using Lambert W-function and Newton-Raphson method collaborated with AI-based optimization techniques …
M Abdel-Basset, R Mohamed, IM Hezam… - Expert Systems with …, 2024 - Elsevier
Accurately estimating the unknown parameters of the photovoltaic (PV) models based on the
measured voltage-current data is a challenging optimization problem due to its high …
measured voltage-current data is a challenging optimization problem due to its high …
Application of DSO algorithm for estimating the parameters of triple diode model-based solar PV system
Solar Photovoltaic (SPV) technology advancements are primarily aimed at decarbonizing
and enhancing the resiliency of the energy grid. Incorporating SPV is one of the ways to …
and enhancing the resiliency of the energy grid. Incorporating SPV is one of the ways to …
Dynamic chaotic opposition-based learning-driven hybrid aquila optimizer and artificial rabbits optimization algorithm: Framework and applications
Y Wang, Y ** operator
Here, a new approach is proposed for solving the optimal power flow (OPF) problem in
transmission networks using a Gradient Bald Eagle Search Algorithm (GBES) with a Local …
transmission networks using a Gradient Bald Eagle Search Algorithm (GBES) with a Local …