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Opis

Artificial Intelligence for Reliability and Maintainability of Energy Systems prepares students, researchers, and industry engineers to design and maintain reliable, sustainable energy systems using state-of-the-art AI techniques. This book provides a clear foundation in the fundamentals of power systems statistics and reliability, including resilience principles and strategies, practical applications, and real-world solutions. It covers a wide range of renewable sources including biomass and biomethane, solar, and hybrid-renewable systems. The AI tools presented range across forecasting, the Internet-of-Things, machine learning, digital twin technology, and big data analysis, with a variety of applications to avoid power outages, minimise disruption, and accurately assess system resilience. Including case studies and details methodology for practical techniques, Artificial Intelligence for Reliability and Maintainability of Energy Systems helps energy systems engineers and researchers to provide a stable and consistent power supply, in the face of climate change challenges and the energy transition.

• Provides a foundation with the fundamental principles and strategies for reliability and resilience
• Introduces the readers to a toolbox of AI methodologies with a variety of applications
• Leverages clear chapter objectives, worked problems, and detailed case studies to support real-world solution-building

Szczegóły książki

Kategoria Książki po angielsku Technology, engineering, agriculture Energy technology & engineering Electrical engineering

• Pełny tytuł: Artificial Intelligence for Reliability and Maintainability of Energy Systems
• Autor: Fausto Pedro Garcia Marquez, René Vinicio Sánchez Loja, Mayorkinos Papaelias
• Oprawa: Miękka
• Liczba stron: 300
• EAN: 9780443247224
• ISBN: 0443247226
• ID: 46434831
• Wymiary: 229 × 152 mm
• Data wydania: 01. April 2025

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