Automatic Learning Techniques in Power Systems

Automatic Learning Techniques in Power Systems by Louis A. Wehenkel.

Automatic learning is a complex, multidisciplinary field of research and development, involving theoretical and applied methods from statistics, computer science, artificial intelligence, biology and psychology. Its applications to engineering problems, such as those encountered in electrical power...

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Bibliographic Details
Main Author: Wehenkel, Louis A. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 1998.
Edition:1st ed. 1998.
Series:Power Electronics and Power Systems,
Springer eBook Collection.
Subjects:
Electrical engineering.
Artificial intelligence.
Natural language processing (Computer science).
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 1. Introduction
  • 1.1 Historical perspective on automatic learning
  • 1.2 An automatic learning tool-box
  • I Automatic Learning Methods
  • 2. Automatic Learning is Searching a Model Space
  • 3. Statistical Methods
  • 4. Artificial Neural Networks
  • 5. Machine Learning
  • 6. Auxiliary Tools and Hybrid Techniques
  • II Application of Automatic Learning to Security Assessment
  • 7. Framework for Applying Automatic Learning to DSA
  • 8. Overview of Security Problems
  • 9. Security Information Data Bases
  • 10. A Sample of Real-Life Applications
  • 11. Added Value of Automatic Learning
  • 12. Future Orientations
  • III Automatic Learning Applications in Power Systems
  • 13. Overview of Applications by Type
  • References.

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