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Title: Application of Neural Networks in Wind Power Generation Prediction
Page Link: Application of Neural Networks in Wind Power Generation Prediction -
Posted By: seminar class
Created at: Wednesday 04th of May 2011 06:36:43 PM
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Abstract
Wind power generation increases rapidly. The availablewind energy depends on the wind speed, which is a randomvariable. For the wind-farm operator, this poses difficulty in thesystem scheduling and energy dispatching, as the schedule of thewind-power availability is not known in advance. In this paper,we propose an intelligent technique for forecasting wind speed ofwind turbine. This technique is based on artificial neuralnetwork (ANN). The Back propagation (BP) neural network isthen supplied with the data to establish the rel ....etc

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Title: system specification for heart disease prediction system using data mining
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Title: Assessment of SET Logic Robustness Through Noise Margin Modeling
Page Link: Assessment of SET Logic Robustness Through Noise Margin Modeling -
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Created at: Wednesday 13th of October 2010 02:26:16 PM
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Assessment of SET Logic Robustness Through Noise Margin Modeling

Chaitanya Sathe, Surya Shankar Dan, and Santanu Mahapatra, Member, IEEE

Abstract—

A compact model for noise margin (NM) of single electron transistor (SET) logic is developed, which is a function of device capacitances and background charge (ζ). Noise margin is, then, used as a metric to evaluate the robustness of SET logic against background charge, temperature, and variation of SET gate and tunnel junction capacitances (CG and CT ....etc

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Title: PREDICTION OF THE CLOSEST MARGIN TO RESTORE POWER SYSTEM SOLVABILITY
Page Link: PREDICTION OF THE CLOSEST MARGIN TO RESTORE POWER SYSTEM SOLVABILITY -
Posted By: seminar projects crazy
Created at: Friday 30th of January 2009 02:12:27 AM
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This paper deals with the methods to find out the margin to restore power system solvability (i.e. how much active and reactive power needs to be reduced so that an unsolvable power system can be brought to a stable operating point). The direction in which we reduce the power is important and is considered in the first method of approaching the closest bifurcation point. In the second method, a minimization technique is adopted to find the active and reactive powers at the buses in the power system if the power system had been operated very clo ....etc

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Title: Power System Solvability
Page Link: Power System Solvability -
Posted By: computer science crazy
Created at: Wednesday 08th of April 2009 01:40:29 AM
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This paper deals with the methods to find out the margin to restore power system solvability (i.e. how much active and reactive power needs to be reduced so that an unsolvable power system can be brought to a stable operating point). The direction in which we reduce the power is important and is considered in the first method of approaching the closest bifurcation point. In the second method, a minimization technique is adopted to find the active and reactive powers at the buses in the power system if the power system had been operated very clo ....etc

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Title: Margin to restore Power System Solvability
Page Link: Margin to restore Power System Solvability -
Posted By: computer science crazy
Created at: Wednesday 08th of April 2009 01:49:41 AM
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This paper deals with the methods to find out the margin to restore power system solvability (i.e. how much active and reactive power needs to be reduced so that an unsolvable power system can be brought to a stable operating point). The direction in which we reduce the power is important and is considered in the first method of approaching the closest bifurcation point. In the second method, a minimization technique is adopted to find the active and reactive powers at the buses in the power system if the power system had been operated very clo ....etc

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Title: matlab code for semi supervised margin analysis image retrieval
Page Link: matlab code for semi supervised margin analysis image retrieval -
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Title: ppt on intelligent heart disease prediction system using data mining techniques
Page Link: ppt on intelligent heart disease prediction system using data mining techniques -
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