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Titlebook: Advances in Renewable Energy and Sustainable Environment; Select Proceedings o Lillie Dewan,Ramesh C. Bansal,Ujjwal Kumar Kalla Conference

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https://doi.org/10.1007/b137775architecture with supervised learning is simulated in MATLAB. The results validate the ability of the proposed architecture for efficient classification of device signature for harmonic contributions with reasonably fast response.
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發(fā)表于 2025-3-30 19:58:01 | 只看該作者
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Rajeev Kumar Jaiman,Vaibhav Joshid turbine systems that are integrated with grid have been considered. It is found that in the proposed protection disconnects the wind turbine system from the grid when the over voltage, under voltage, and high-speed wind turbine rotating speed faults occur.
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Artificial Neural Network-Based Source Identification Producing Harmonic Pollution in the Electric architecture with supervised learning is simulated in MATLAB. The results validate the ability of the proposed architecture for efficient classification of device signature for harmonic contributions with reasonably fast response.
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發(fā)表于 2025-3-31 13:00:59 | 只看該作者
A New Technique for Wind Turbine Power Curve Incomplete Bin Evaluation,er performance assessment due to the nonlinear power performance characteristics of wind turbines. Especially in stall regulated wind turbine, the approach over estimates the power in incomplete bin about 32% and leading to 1.2% over estimation of annual energy production (AEP). This paper proposes
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Advances in Renewable Energy and Sustainable EnvironmentSelect Proceedings o
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