Journal of Power and Energy Engineering

Journal of Power and Energy Engineering

ISSN Print: 2327-588X
ISSN Online: 2327-5901
www.scirp.org/journal/jpee
E-mail: jpee@scirp.org
"Enhanced Vibrating Particles System Algorithm for Parameters Estimation of Photovoltaic System"
written by Patrick Juvet Gnetchejo, Salomé Ndjakomo Essiane, Pierre Ele, René Wamkeue, Daniel Mbadjoun Wapet, Steve Perabi Ngoffe,
published by Journal of Power and Energy Engineering, Vol.7 No.8, 2019
has been cited by the following article(s):
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[3] Engineering system design using the vibrating particles system algorithm
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[4] Engineering system design using the vibrating particles system algorithm.
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[6] Modified Social Network Search Algorithm Combined With Halley's Method for Parameter Estimation in a Photovoltaic Cell, Module and Array
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[8] Hybrid chaotic whale-shark optimization algorithm to improve artificial neural network: application to the skin neglected tropical diseases diagnosis
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[13] Ensemble of constraint handling techniques for PV parameter extraction using differential evolutionary algorithms
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[14] Vibrating Particles System Algorithm: Overview, Modifications and Applications
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[15] Performance Analysis of a Photovoltaic Source Connected to the Utility Grid
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[16] Parameter extraction of photovoltaic models using a memory-based improved gorilla troops optimizer
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[17] An efficient electric charged particles optimization algorithm for numerical optimization and optimal estimation of photovoltaic models
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[18] Optimal design of the modelling parameters of photovoltaic modules and array through metaheuristic with Secant method
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[19] Parameters identification for photovoltaic system via improved electromagnetism-like approach and quadrature technique
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[20] Improved social network search algorithm coupled with Lagrange method for extracting the best parameter of photovoltaic modules and array
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[21] Fault Detection and Classification of a Photovoltaic Generator Using the BES Optimization Algorithm Associated with SVM
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[22] Electrical parameter computation of various photovoltaic models using an enhanced jumping spider optimization with chaotic drifts
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[23] Harris Hawk Optimization Combined with Differential Evolution for the Estimation of Solar Cell Parameters
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[24] Implementation of Constraint Handling Techniques for Photovoltaic Parameter Extraction Using Soft Computing Techniques
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[25] A Self-adaptive algorithm with Newton Raphson method for parameters Identification of photovoltaic modules and array
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[26] An improved artificial jellyfish search optimizer for parameter identification of photovoltaic models
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[27] A combination of Newton-Raphson method and heuristics algorithms for parameter estimation in photovoltaic modules
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[28] A new approach for crack detection in plate structures using an integrated extended finite element and enhanced vibrating particles system optimization methods
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[29] Faults detection and identification in PV array using kernel principal components analysis
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[30] Estimation of single-diode and two diode solar cell parameters by equilibrium optimizer method
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[31] A New Approach for Crack Detection in Plate Structures Using an Integrated Extended Finite Element and Vibrating Particles System Optimization Methods
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[32] Faults diagnosis in a photovoltaic system based on multivariate statistical analysis
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[33] Parameter estimation of the photovoltaic system using bald eagle search (BES) algorithm
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[34] Optimal PV parameter estimation via double exponential function-based dynamic inertia weight particle swarm optimization
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[35] Parameter extraction of solar photovoltaic models via quadratic interpolation learning differential evolution
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[36] Hydropower Production Optimization from Inflow: Case Study of Songloulou Hydroplant
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[37] Parameters estimation of photovoltaic cells using simple and efficient mathematical models
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[38] Parameters extraction of single and double diodes photovoltaic models using Marine Predators Algorithm and Lambert W function
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[39] Parameter Identification for Photovoltaic Models Using an Improved Learning Search Algorithm
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[40] Application of supply‐demand‐based optimization for parameter extraction of solar photovoltaic models
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[41] Reply to comment on “Important notes on parameter estimation of solar photovoltaic cell”, by Gnetchejo et al.[Energy Conversion and Management, https://doi. org …
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[42] Application of Supply-Demand-Based Optimization for Parameter Extraction of Solar Photovoltaic Models
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