Search Results - (( model application _ algorithm ) OR ( panel identification system algorithm ))
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Model predictive control for MPPT of distributed photovoltaic module
Published 2017“…A conventional P&O technique was design by develop the algorithm to compare the result. A plant using system identification developed as the MPC needs a plant for prediction. …”
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Student Project -
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System identification of a solar maximum power point tracking system for dual axis / Thomas Davion, Noorazlina Mohamid Salih and Mohd Shahrizan Mohd Said
Published 2019“…The system then uses a quadratic-equation based algorithm that calculates the quadratic function corresponding to the maximum power generation point. …”
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Conference or Workshop Item -
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A review of deep learning-based defect detection and panel localization for photovoltaic panel surveillance system
Published 2024“…YOLO algorithms are utilized for their real-time detection capabilities, allowing for immediate identification and categorization of defects during routine inspections. …”
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Article -
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Optimizing solar streetlight systems for sustainable urban and community development
Published 2025“…Through these enhancements, the system effectively reduced energy wastage, leading to the identification of the most efficient and practical battery capacity. …”
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Development of electronic nose for classification of aromatic herbs using Artificial Intelligent techniques
Published 2018“…Moreover, several factors might influence the accuracy of the human olfactory system as a sensory panel such as physical and mental conditions. …”
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Fault-tolerant power extraction strategy for photovoltaic energy systems
Published 2018“…The FDI method is based on monitoring the PV panel generated power for the presence of abrupt changes; the MPPT reconfiguration is based on a combination between Incremental Conductance (IncCond) Algorithm and an Improved Current-based Particle Swarm Optimization (ICPSO) tracking technique. …”
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SURE-Autometrics algorithm for model selection in multiple equations
Published 2016“…However, most model selection algorithms such as Autometrics only concentrate on single equation modelling which has limited application. …”
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Thesis -
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Orthogonal least square algorithm and its application for modelling suspension system
Published 2001“…The derivation of the algorithm is presented and its application to the modelling of a car suspension system is included to demonstrate the effectiveness of the algorithm.…”
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Model structure selection for a discrete-time non-linear system using genetic algorithm
Published 2004“…The results show that the proposed algorithm can be employed as an algorithm to select the structure of the proposed model.…”
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Article -
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Hybrid DE-PEM algorithm for identification of UAV helicopter
Published 2014“…It gives better results when compared with conventional PEM algorithm inside MATLAB toolboxes. Research limitations/implications – This study is applicable to only linearized state-space model. …”
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Real time nonlinear filtered-x lms algorithm for active noise control
Published 2012“…Consequently, the practical applicability of the NLFXLMS algorithm is limited by this drawback. …”
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Thesis -
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Assessing the simulation performances of multiple model selection algorithm
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Conference or Workshop Item -
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Structural Equation Modeling Algorithm and Its Application in Business Analytics
Published 2017“…Structural Equation Modeling (SEM) is a statistical-based multivariate modeling methods, Application of SEM is similar but more powerful than regression analysis; and number of scientists using SEM in their research is rupidly inereasing. …”
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Book Chapter -
15
Adaptive Spiral Dynamics Metaheuristic Algorithm for Global Optimisation with Application to Modelling of a Flexible System
Published 2016“…This paper presents a nature-inspired metaheuristic algorithm namely linear adaptive spiral dynamics algorithm (LASDA) and its application to modelling of a flexible system. …”
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Recursive least square and fuzzy modelling using genetic algorithm for process control application
Published 2007“…This paper discusses the identification of parameters of the fuzzy sets at the antecedent part and linear model at the consequent part of fuzzy model within an application to process control. …”
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Conference or Workshop Item -
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Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty
Published 2024“…When compared to the Supply Chain Guru X (SCGX) software, the proposed algorithms offer higher practical applicability.…”
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Thesis -
18
LASSO-type estimations for threshold autoregressive and heteroscedastic time series models.
Published 2020“…We extend the application of the adaptive LASSO via the CGD algorithm for the multivariate Baba-Engle-Kroner-Kraft (BEKK) ARCH/GARCH, our fourth model. …”
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UMK Etheses -
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Development of Algorithm for QoS Model in Cloud Computing
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Article -
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