Sprache: Englisch
ISBN 10: 8893918595 ISBN 13: 9788893918596
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Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book provides readers with an in-depth review of deep learning-based techniques and discusses how they can benefit power system applications. Representative case studies of deep learning techniques in power systems are investigated and discussed, including convolutional neural networks (CNN) for power system security screening and cascading failure assessment, deep neural networks (DNN) for demand response management, and deep reinforcement learning (deep RL) for heating, ventilation, and air conditioning (HVAC) control.Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems is an ideal resource for professors, students, and industrial and government researchers in power systems, as well as practicing engineers and AI researchers.Provides a history of AI in power grid operation and planning;Introduces deep learning algorithms and applications in power systems;Includes several representative case studies.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 113 pages. 9.26x6.10x0.31 inches. In Stock.
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Taschenbuch. Zustand: Neu. Deep Learning for Power System Applications | Case Studies Linking Artificial Intelligence and Power Systems | Fangxing Li (u. a.) | Taschenbuch | Power Electronics and Power Systems | xii | Englisch | 2024 | Springer | EAN 9783031453595 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing, 2023
ISBN 10: 3031453565 ISBN 13: 9783031453564
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides readers with an in-depth review of deep learning-based techniques and discusses how they can benefit power system applications. Representative case studies of deep learning techniques in power systems are investigated and discussed, including convolutional neural networks (CNN) for power system security screening and cascading failure assessment, deep neural networks (DNN) for demand response management, and deep reinforcement learning (deep RL) for heating, ventilation, and air conditioning (HVAC) control.Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems is an ideal resource for professors, students, and industrial and government researchers in power systems, as well as practicing engineers and AI researchers.Provides a history of AI in power grid operation and planning;Introduces deep learning algorithms and applications in power systems;Includes several representative case studies.
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Sprache: Englisch
Verlag: Springer Nature Switzerland, Springer Nature Switzerland, 2025
ISBN 10: 3031831985 ISBN 13: 9783031831980
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Protection Improvement of Electrical Network-Connected Wind Energy Systems: Case Studies, Strategies, and Techniques from the Egyptian Power System focuses on improving the protection of wind energy systems linked to an electrical network. It explores various protection strategies and techniques to enhance the wind energy systems' capability of withstanding low-voltage ride-through (LVRT) and reduce the total annual cost. The book addresses the advantages and disadvantages of each protection strategy, providing a comprehensive evaluation of the protection techniques employed to improve LVRT capabilities. The authors use the Al-Zafarana Wind Energy Conversion System as a case study system for simulation tests in a MATLAB/Simulink environment.
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In den WarenkorbPaperback. Zustand: Brand New. 300 pages. 9.00x6.00x9.02 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 384 pages. 10.24x7.20x1.97 inches. In Stock.
Sprache: Englisch
Verlag: Elsevier Science Nov 2025, 2025
ISBN 10: 0443238634 ISBN 13: 9780443238635
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Case Studies in Energy Systems: A Practical Approach to Energy System Design and Analysis demonstrates the application of both fundamental and advanced principles by providing a broad range of case studies, examples, and models. Opening with a clear summary of the foundational theory, this book then presents a selection of case studies based on the experience of experts. Examples are analyzed in a holistic context, considering environmental, economic, and technological aspects. Finally, the authors have provided models, codes, and calculation spreadsheets where appropriate, allowing readers to test the tools for themselves.Equipping researchers and advanced students for the transition to industry practice, this book is a guide to real-world problem-solving for the energy future.