Search Results - (( model validation study algorithm ) OR ( panel estimation based algorithm ))
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1
Spacecraft sun-pointing using coplanar solar panels data and magnetic field measurements
Published 2013“…Then, the magnetometer measurements and their corresponding time derivatives are used to represent the measurement model. The other sub-estimator is derived for the estimation of the Sun vector based on solar panels measurements in terms of output current. …”
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Proceeding Paper -
2
Estimating Crack Effects on Electrical Characteristics of PV Modules Based on Monitoring Data and I-V Curves
Published 2024“…This study presents an approach to investigate microcrack effects on the output characteristics of photovoltaic (PV) modules based on a theoretical model that is derived from the equivalent single-diode model through monitoring data and current-voltage (I-V) curves. …”
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3
Robust estimation methods for fixed effect panel data model having block-concentrated outliers
Published 2019“…The Ordinary Least Squares (OLS) is the commonly used method to estimate the parameters of fixed effect panel data model. …”
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Thesis -
4
Implementation of a modified incremental conductance MPPT algorithm with direct control based on a fuzzy duty cycle change estimator using dSPACE
Published 2014“…To eliminate all of the disadvantages of the classic IC algorithm, we developed a new IC controller based on a fuzzy duty cycle change estimator with direct control. …”
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5
Performance analyses of various photovoltaic power plant based on local spectral irradiances in Malaysia using genetic algorithm
Published 2023“…The solar sites will be evaluated based on their annual average solar irradiation and the optimal tilt angle and orientation angle for solar panel at the solar sites can be estimated using the computational model. …”
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Final Year Project / Dissertation / Thesis -
6
Attitude and deformation coupled estimation of flexible satellite using low-cost sensors
Published 2022“…The numerical results also demonstrate that including the flexibility model in the developed estimation equations enables the algorithm to successfully estimate the deformation at any solar panel location without the need for any conventional sensor that directly measures the strain and/or deformation.…”
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7
Modeling and analysis of the impact of information and communication technology on household consumption expenditure in different regions
Published 2022“…Based on the panel data of cities and towns in China, by using the generalized estimation method of a dynamic panel, through the construction of regional household consumption expenditure evaluation models, optimize the impact evaluation algorithm of household consumption expenditure in different regions, standardize critic indicators, and build the impact modeling of household consumption expenditure in combination with relevant algorithms such as the Engel coefficient. …”
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Optimization of assembly line balancing with energy efficiency by using tiki-taka algorithm
Published 2023“…Lastly, a study of the industrial case was performed as a validation of the developed model and algorithm. …”
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Thesis -
10
Designing a control system based on SOC estimation of BMS for PV-Solar system
Published 2020“…The proposed control algorithm estimates SOC by Backpropagation Neural Network (BPNN) scheme and utilizesthe Maximum Power PointTracking(MPPT)schemeof the solar panels to take decision for charging, discharging or islanding mode of the Lead-Acid battery bank. …”
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11
Artificial Neural Network based Battery Management System on State of Charge Estimation for Optimal Operation of Photovoltaic-Battery Integrated System
Published 2020“…The proposed control algorithm estimates SOC by Backpropagation Neural Network (BPNN) scheme and implements Maximum Power Point Tracking (MPPT) system of the solar panels to take decision for charging, discharging or islanding mode of the Lead-Acid battery bank. …”
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Thesis -
12
Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score
Published 2021“…However, the conversion of a complex form of ML algorithms into a simple statistical model is the prime concern. …”
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Thesis -
13
Analysis and evaluation of various aspects of solar radiation in the Palestinian territories
Published 2023“…The calibration of coefficients for the different regression models that were used for estimating the global solar radiation based on sunshine hours was also performed during the course of this work. …”
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Analysis and evaluation of various aspects of solar radiation in the Palestinian territories
Published 2013“…The calibration of coefficients for the different regression models that were used for estimating the global solar radiation based on sunshine hours was also performed during the course of this work. …”
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15
Landslide susceptibility mapping at VAZ watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF)...
Published 2013“…Finally the landslide susceptibility maps were validated using the validation data (i.e., 30 % landslide location data that was not used during the model construction) using area under the curve (AUC) method. …”
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16
A deep reinforcement learning hybrid algorithm for the computational discovery and characterization of small proteins utilizing mycobacterium tuberculosis as a model
Published 2025“…While the focus was on comparing standalone and hybrid models, the study identifies opportunities for future benchmarking against external tools to further validate its contributions. …”
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Thesis -
17
Dynamic modelling of a flexible beam structure using feedforward neural networks for active vibration control
Published 2019“…The performance of modified SFS algorithm to train a nonlinear auto-regressive exogenous model (NARX) structure FNNs-based model of the system was then compared with its predecessor and with several well-known metaheuristic algorithms. …”
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18
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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Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms
Published 2014“…This study explores the performance accuracies of partitioning-based algorithms and probabilistic model-based algorithm. …”
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Model structure selection for a discrete-time non-linear system using a 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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