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Kohonen Self Organizing Neural Network For Power System Security Assessment


Kohonen Self Organizing Neural Network For Power System Security Assessment
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Kohonen Self Organizing Neural Network For Power System Security Assessment


Kohonen Self Organizing Neural Network For Power System Security Assessment
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Author : Dagmar Niebur
language : en
Publisher:
Release Date : 1994

Kohonen Self Organizing Neural Network For Power System Security Assessment written by Dagmar Niebur and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.




Communications And Control For Electric Power Systems


Communications And Control For Electric Power Systems
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Author : National Aeronautics and Space Administration (NASA)
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-06-30

Communications And Control For Electric Power Systems written by National Aeronautics and Space Administration (NASA) and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-30 with categories.


This report investigates the classification of power system states using an artificial neural network model, Kohonen's self-organizing feature map. The ultimate goal of this classification is to assess power system static security in real-time. Kohonen's self-organizing feature map is an unsupervised neural network which maps N-dimensional input vectors to an array of M neurons. After learning, the synaptic weight vectors exhibit a topological organization which represents the relationship between the vectors of the training set. This learning is unsupervised, which means that the number and size of the classes are not specified beforehand. In the application developed in this report, the input vectors used as the training set are generated by off-line load-flow simulations. The learning algorithm and the results of the organization are discussed. Niebur, D. and Germond, A. Jet Propulsion Laboratory NAS7-918...



Neural Network Computing For The Electric Power Industry


Neural Network Computing For The Electric Power Industry
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Author : Dejan J. Sobajic
language : en
Publisher: Psychology Press
Release Date : 2013-06-17

Neural Network Computing For The Electric Power Industry written by Dejan J. Sobajic and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-17 with Psychology categories.


Power system computing with neural networks is one of the fastest growing fields in the history of power system engineering. Since 1988, a considerable amount of work has been done in investigating computing capabilities of neural networks and understanding their relevance to providing efficient solutions for outstanding complex problems of the electric power industry. A principal objective of a power utility is to provide electric energy to its customers in a secure, reliable and economic manner. Toward this aim, utility personnel are engaged in a variety of activities in areas of supervisory control and monitoring, evaluation of operating conditions, operation planning and scheduling, system development, equipment testing, etc. Over the past decades significant advances have been made in the development of new concepts, design of hardware and software systems, and implementation of solid-state devices which all contributed to the steadily improving power system performance that we are experiencing today. Advanced information processing technologies played an important role in these development efforts. Members of the Special Interest Group for Power Engineering of the INNS recognized the need for bringing together leading researchers in the field of neurocomputing with experts from power utilities and manufacturing companies to assess the current state of affairs and to explore the directions of further research and practice. This book is based on The Summer Workshop on Neural Network Computing for the Electric Power Industry which brought together approximately forty specialists with backgrounds in power engineering, system operation and planning, neural network theory and AI systems design. An informal and highly inspiring atmosphere of the workshop facilitated open discussion and exchange of expertise between the participants.



Power System Static Security Assessment Using The Kohonen Neural Network Classifier


Power System Static Security Assessment Using The Kohonen Neural Network Classifier
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Author : Dagmar Niebur
language : en
Publisher:
Release Date : 1992

Power System Static Security Assessment Using The Kohonen Neural Network Classifier written by Dagmar Niebur and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.




Advanced Solutions In Power Systems


Advanced Solutions In Power Systems
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Author : Mircea Eremia
language : en
Publisher: John Wiley & Sons
Release Date : 2016-10-03

Advanced Solutions In Power Systems written by Mircea Eremia and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-03 with Science categories.


Provides insight on both classical means and new trends in the application of power electronic and artificial intelligence techniques in power system operation and control This book presents advanced solutions for power system controllability improvement, transmission capability enhancement and operation planning. The book is organized into three parts. The first part describes the CSC-HVDC and VSC-HVDC technologies, the second part presents the FACTS devices, and the third part refers to the artificial intelligence techniques. All technologies and tools approached in this book are essential for power system development to comply with the smart grid requirements. Discusses detailed operating principles and diagrams, theory of modeling, control strategies and physical installations around the world of HVDC and FACTS systems Covers a wide range of Artificial Intelligence techniques that are successfully applied for many power system problems, from planning and monitoring to operation and control Each chapter is carefully edited, with drawings and illustrations that helps the reader to easily understand the principles of operation or application Advanced Solutions in Power Systems: HVDC, FACTS, and Artificial Intelligence is written for graduate students, researchers in transmission and distribution networks, and power system operation. This book also serves as a reference for professional software developers and practicing engineers.



Application Of Artificial Neural Network In Power System Analysis


Application Of Artificial Neural Network In Power System Analysis
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Author : Dr.Gitanjali Saha
language : en
Publisher: Book Rivers
Release Date : 2022-11-22

Application Of Artificial Neural Network In Power System Analysis written by Dr.Gitanjali Saha and has been published by Book Rivers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-22 with Art categories.




Dynamics And Self Organization Of Locally Coupled Neural Networks


Dynamics And Self Organization Of Locally Coupled Neural Networks
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Author : Patrick Thiran
language : en
Publisher: EPFL Press
Release Date : 1997-01-01

Dynamics And Self Organization Of Locally Coupled Neural Networks written by Patrick Thiran and has been published by EPFL Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-01-01 with Neural networks (Computer science) categories.




Artificial Intelligence Techniques In Power Systems


Artificial Intelligence Techniques In Power Systems
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Author : Kevin Warwick
language : en
Publisher: IET
Release Date : 1997

Artificial Intelligence Techniques In Power Systems written by Kevin Warwick and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.


The intention of this book is to give an introduction to, and an overview of, the field of artificial intelligence techniques in power systems, with a look at various application studies.



Adaptive And Natural Computing Algorithms


Adaptive And Natural Computing Algorithms
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Author : Bernadete Ribeiro
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-12

Adaptive And Natural Computing Algorithms written by Bernadete Ribeiro and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-12 with Computers categories.


The ICANNGA series of Conferences has been organised since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scientific community and is a reference for established workers in this area. Starting in Innsbruck, in Austria (1993), then to Ales in Prance (1995), Norwich in England (1997), Portoroz in Slovenia (1999), Prague in the Czech Republic (2001) and finally Roanne, in France (2003), the ICANNGA series has established itself for experienced workers in the field. The series has also been of value to young researchers wishing both to extend their knowledge and experience and also to meet internationally renowned experts. The 2005 Conference, the seventh in the ICANNGA series, will take place at the University of Coimbra in Portugal, drawing on the experience of previous events, and following the same general model, combining technical sessions, including plenary lectures by renowned scientists, with tutorials.



Neural Networks


Neural Networks
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Author : G David Garson
language : en
Publisher: SAGE
Release Date : 1998-09-28

Neural Networks written by G David Garson and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-09-28 with Social Science categories.


This book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists. The author details numerous studies and examples which illustrate the advantages of neural network analysis over other quantitative and modelling methods in widespread use. Methods are presented in an accessible style.