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model optimization » level optimization (Expand Search), motor optimization (Expand Search), monkey optimizations (Expand Search)
a model » _ model (Expand Search)
lines » line (Expand Search)
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On the protection of power system: Transmission line fault analysis based on an optimal machine learning approach
Published 2022“…The design is carried out based on the selection of the optimal model parameters using a search optimization algorithm called GridSearchCV. …”
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Enhancement of power system dynamic performance through an on-line self-tuning adaptive SVC controller
Published 2006“…The control derived is based on a pole-shifting technique employing a predicted plant model. …”
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
Published 2024“…Lastly, a newly improved learning algorithm encompasses a modified pelican optimization algorithm (MOD-POA) and an extreme learning machine (ELM) for classification tasks. …”
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Optimal shunt compensators at nonsinusoidal busbars
Published 1995“…A model for determining an optimal shunt capacitor value at nonsinusoidal busbars combining three basic criteria maximizing the power factor, minimizing the line losses, and maximizing the transmission efficiency is developed. …”
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OPTIMAL SHUNT COMPENSATORS AT NON-SINUSOIDAL BUSBARS
Published 2020“…A model for determining an optimal shunt capacitor value at nonsinusoidal busbars combining three basic criteria maximizing the power factor, minimizing the line losses, and maximizing the transmission efficiency is developed. …”
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Impact of Charging Electric Vehicles under Different State of Charge Levels and Extreme Conditions
Published 2021“…<p dir="ltr">High penetration levels of Plug-in Electric Vehicles (PEVs) could cause stress on the network and might violate the limits and constraints under extreme conditions, such as exceeding power and voltage limits on transformers and power lines. This paper defines extreme conditions as the state of a load or network that breaks the limits of the constraints in an optimization model. …”
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A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata
Published 2025Get full text
doctoralThesis -
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Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
Published 2022“…The proposed system simulation is carried out using the MATLAB/Simulink-2021a® software. From the results, it is found that the Levenberg–Marquardt optimization algorithm-based ANN model gives the best electrical load forecasting results.…”
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Impacts of On-Grid Solar PV on Distribution Networks and Potential Solutions: A Case Study in the Region of Zahle
Published 2025“…For this purpose, the research develops a model for heavily PV DG-loaded distribution lines in Zahle. …”
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Multi-UAV-Enabled Mobile Edge Computing IoT Systems: Joint Association and Resource Allocation Framework
Published 2024Get full text
doctoralThesis -
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Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems
Published 2009Get full text
doctoralThesis -
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The Use of Microwave Tomography in Bone Healing Monitoring
Published 2019Get full text
doctoralThesis