Abstract: It is available in the file which you can download from the link below.
read more “Power Quality Management”
Download Full Paper: Click here
Showing posts with label Power Systems. Show all posts
Showing posts with label Power Systems. Show all posts
Power Quality
Abstract: It is available in the file which you can download from the link below.
read more “Power Quality”
Download Full Paper: Click here
Power Electronics in Ship Propulsion on Electric Motors
Abstract: It is available in the file which you can download from the link below.
read more “Power Electronics in Ship Propulsion on Electric Motors”
Download Full Paper: Click here
Low Voltage - Low Power Fast Settling CMOS Operational
Abstract: It is available in the file which you can download from the link below.
read more “Low Voltage - Low Power Fast Settling CMOS Operational”
Download Full Paper: Click here
IRIS Power
Abstract: It is available in the file which you can download from the link below.
read more “IRIS Power”
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Lithium Thin-Film Battery
Tuesday, November 10, 2009
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Abstract:The reduction in size and power requirements of electronic devices has prompted development of all-solid-state thin film batteries as efficient, lightweight, compact
power sources. In all most all electronic components we are using ordinary LI-ion batteries. But these batteries have more disadvantages like more heat dissipation, space occupation etc
It is available in the file which you can download from the link below.
read more “Lithium Thin-Film Battery”
power sources. In all most all electronic components we are using ordinary LI-ion batteries. But these batteries have more disadvantages like more heat dissipation, space occupation etc
It is available in the file which you can download from the link below.
Download Full Paper: Click here
Artificial Intelligence And Neural Network Applications In Power Systems
Sunday, August 30, 2009
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Abstract: The electric power industry is currently undergoing an unprecedented reform, ascribable to, one of the most exciting and potentially profitable recent developments in increasing usage of artificial intelligence techniques. The artificial neural network approach has attracted number of applications especially in the field of power system since it is a model free estimator. Neural networks provide solutions to very complex and nonlinear problems. Nonlinear problems, like load forecasting that cannot be solved with standard algorithms but can be solved with a neural network with remarkable accuracy. Modern interconnected power systems often consist of thousands of pieces of equipment each of which may have an effect on the security of the system. Neural networks have shown great promise for their ability to quickly and accurately predict the system security when trained with data collected from a small subset of system variables.
The intention of this paper is to give an overview of application of artificial intelligence and neural network (NN) techniques in power systems to prognosticate load on power plant and contingency in case of any unexpected outage. In this paper we present the key concepts of artificial neural networks, its history, imitation of brain neuron’s architecture and finally the applications (load forecasting and contingency analysis). The applications of artificial intelligence in areas of load forecasting by error Backpropagation learning algorithm and contingency analysis based on Quality index have been perspicuously explained
read more “Artificial Intelligence And Neural Network Applications In Power Systems”
The intention of this paper is to give an overview of application of artificial intelligence and neural network (NN) techniques in power systems to prognosticate load on power plant and contingency in case of any unexpected outage. In this paper we present the key concepts of artificial neural networks, its history, imitation of brain neuron’s architecture and finally the applications (load forecasting and contingency analysis). The applications of artificial intelligence in areas of load forecasting by error Backpropagation learning algorithm and contingency analysis based on Quality index have been perspicuously explained
Download Full Paper: Click here
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