£108.92

Springer - Intelligent Knowledge Based Systems in Power Engineering

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Description

Explore the integration of artificial intelligence within the energy sector with this comprehensive guide from Springer. Intelligent Knowledge Based Systems in Electrical Power Engineering provides a deep look into how intelligent applications transform the power industry. The text offers a historical overview of intelligent knowledge based systems (IKBS) and artificial intelligence (AI), setting a strong foundation for understanding these technologies. Readers will find a broad analysis of how these techniques apply to modern electrical power systems. The book covers essential topics including forecasting and planning, the design of electrical plants, and the use of IKBS in condition monitoring. It also addresses practical technical needs such as alarm processing, event management, and fault diagnosis. By examining future trends in IKBS for power engineering, this book serves as a vital resource for understanding the evolution and upcoming changes in the electrical power landscape.

Key Features

Provides a historical and general overview of artificial intelligence (AI) and intelligent knowledge based systems (IKBS) within the power industry.

Covers essential forecasting and planning techniques for modern power systems.

Offers detailed guidance on the design of electrical plants and various power systems.

Explains the application of IKBS in condition monitoring and alarm processing to improve system oversight.

Includes technical analysis of event and fault diagnosis for electrical power engineering applications.

Analyzes future trends in intelligent knowledge based systems to prepare for upcoming industry shifts.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
01 November 2012
Listed Since
20 September 2013

Barcode

No barcode data available

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