Isbn: 9789819757176 - intelligent methods in electrical power systems (engineering optimization: methods and applications) (6 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Springer, 2024

    9819757177 / 9789819757176

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    Zustand: New. 2024th edition NO-PA16APR2015-KAP.

  • Sprache: Englisch

    Verlag: Springer, 2024

    9819757177 / 9789819757176

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    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive review of the latest developments in optimization based learning algorithms within the field of electrical engineering. It covers various power system applications including efficient power system operation, load forecasting, fault analysis, home automation and efficient smart grid management. Each application is accompanied by case studies and a literature review in self-contained chapters. The book is dedicated to study the effectiveness of intelligent methods in addressing the power system problems and its mitigation using optimization algorithms. It discusses several optimization algorithms such as random forest algorithm, metaheuristic algorithm, scaled conjugate gradient descent algorithm, artificial bee colony algorithm etc. and their usability in intelligent decision makers for the various optimization problems in electrical engineering. This timely book serves as a practical guide and reference sources for students, researchers and professionals.

  • Sprache: Englisch

    Verlag: Springer, 2024

    9819757177 / 9789819757176

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  • Sprache: Englisch

    Verlag: Springer, Berlin|Springer Nature Singapore|Springer, 2024

    9819757177 / 9789819757176

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    Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book provides a comprehensive review of the latest developments in optimization based learning algorithms within the field of electrical engineering. It covers various power system applications including efficient power system operation, load foreca.

  • Sprache: Englisch

    Verlag: Springer, Springer Nov 2024, 2024

    9819757177 / 9789819757176

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    Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a comprehensive review of the latest developments in optimization based learning algorithms within the field of electrical engineering. It covers various power system applications including efficient power system operation, load forecasting, fault analysis, home automation and efficient smart grid management. Each application is accompanied by case studies and a literature review in self-contained chapters. The book is dedicated to study the effectiveness of intelligent methods in addressing the power system problems and its mitigation using optimization algorithms. It discusses several optimization algorithms such as random forest algorithm, metaheuristic algorithm, scaled conjugate gradient descent algorithm, artificial bee colony algorithm etc. and their usability in intelligent decision makers for the various optimization problems in electrical engineering. This timely book serves as a practical guide and reference sources for students, researchers and professionals. 188 pp. Englisch.

  • Sprache: Englisch

    Verlag: Springer, Springer Nov 2024, 2024

    9819757177 / 9789819757176

    • Hardcover
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    Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a comprehensive review of the latest developments in optimization based learning algorithms within the field of electrical engineering. It covers various power system applications including efficient power system operation, load forecasting, fault analysis, home automation and efficient smart grid management. Each application is accompanied by case studies and a literature review in self-contained chapters. The book is dedicated to study the effectiveness of intelligent methods in addressing the power system problems and its mitigation using optimization algorithms. It discusses several optimization algorithms such as random forest algorithm, metaheuristic algorithm, scaled conjugate gradient descent algorithm, artificial bee colony algorithm etc. and their usability in intelligent decision makers for the various optimization problems in electrical engineering. This timely book serves as a practical guide and reference sources for students, researchers and professionals.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 188 pp. Englisch.