Showing 1 - 15 results of 15 for search '(( lines a model optimization algorithm ) OR ( binary task based optimization algorithm ))', query time: 0.11s Refine Results
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    On the protection of power system: Transmission line fault analysis based on an optimal machine learning approach by Md. Sihab Uddin (17542488)

    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 by Rahim, A.H.M.A.

    Published 2006
    “…The control derived is based on a pole-shifting technique employing a predicted plant model. …”
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    article
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    Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine by Debendra Muduli (20748758)

    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 by El-Amin, I.M.

    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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    article
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    OPTIMAL SHUNT COMPENSATORS AT NON-SINUSOIDAL BUSBARS by El-Amin, I.M.

    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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    article
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    Impact of Charging Electric Vehicles under Different State of Charge Levels and Extreme Conditions by Claude Ziad El-Bayeh (17542284)

    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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    Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods by Sivakavi Naga Venkata Bramareswara Rao (15944992)

    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 by Korkmaz, Jessica

    Published 2025
    “…For this purpose, the research develops a model for heavily PV DG-loaded distribution lines in Zahle. …”
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    masterThesis
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