[HTML][HTML] Identification of photovoltaic module parameters by implementing a novel teaching learning based optimization with unique exemplar generation scheme …
The performance evaluation of a Photovoltaic (PV) system heavily relies on accurately
estimating the parameters based on its current—voltage relationships. However, due to the …
estimating the parameters based on its current—voltage relationships. However, due to 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 …
Photovoltaic parameter estimation using improved moth flame algorithms with local escape operators
Optimizing, regulating, and simulating photovoltaic systems are crucial for producing solar
energy. The performance of PV systems is greatly affected by model parameters, which can …
energy. The performance of PV systems is greatly affected by model parameters, which can …
Optimal configuration of improved integrated energy system based on stepped carbon penalty response and improved power to gas
The high construction cost and low energy storage efficiency of P2G devices in integrated
energy systems limit their performance in energy storage. The heat generated by P2G …
energy systems limit their performance in energy storage. The heat generated by P2G …
Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation
The COVID-19 is one of the most significant obstacles that humanity is now facing. The use
of computed tomography (CT) images is one method that can be utilized to recognize …
of computed tomography (CT) images is one method that can be utilized to recognize …
[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 …
A novel variant of moth flame optimizer for higher dimensional optimization problems
Abstract Moth Flame Optimization (MFO) is a nature-inspired optimization algorithm, based
on the principle of navigation technique of moth toward moon. Due to less parameter and …
on the principle of navigation technique of moth toward moon. Due to less parameter and …
An improved differential evolution for parameter identification of photovoltaic models
S Yuan, Y Ji, Y Chen, X Liu, W Zhang - Sustainability, 2023 - mdpi.com
Photovoltaic (PV) systems are crucial for converting solar energy into electricity.
Optimization, control, and simulation for PV systems are important for effectively harnessing …
Optimization, control, and simulation for PV systems are important for effectively harnessing …
An improved moth flame optimization for optimal DG and battery energy storage allocation in distribution systems
MA Elseify, S Kamel, L Nasrat - Cluster Computing, 2024 - Springer
Deploying distributed generators (DGs) powered by renewable energy poses a significant
challenge for effective power system operation. Optimally scheduling DGs, especially …
challenge for effective power system operation. Optimally scheduling DGs, especially …
Efficient estimation of PV parameters for existing datasets by using an intelligent algorithm
This paper introduced a newly proposed Meta-heuristic (MH) algorithm for parameter
estimation of solar PV, ie Bonobo Optimizer (BO) algorithm. This algorithm has been …
estimation of solar PV, ie Bonobo Optimizer (BO) algorithm. This algorithm has been …