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Data-driven Optimization and Control for Autonomous Energy Systems

Language EnglishEnglish
Book Hardback
Book Data-driven Optimization and Control for Autonomous Energy Systems Jian Sun
Libristo code: 49358320
Publishers Springer-Verlag GmbH, November 2025
This book introduces a pioneering framework for monitoring and controlling autonomous energy systems... Full description
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This book introduces a pioneering framework for monitoring and controlling autonomous energy systems, distinguished by its use of physics-informed deep neural networks. These networks provide accurate estimations and forecasts, interlacing with advanced composite optimization algorithms to simplify the complex processes of state estimation. This approach not only boosts operational efficiency but also maximizes flexibility through a data-driven methodology integrated with physics-based principles. The framework leverages the power of neural networks to define the intricate relationship between system states and control policies, offering precise, robust control strategies that adapt to dynamically changing system conditions. This book is essential reading for professionals looking to enhance the performance and flexibility of energy systems through cutting-edge technology.

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About the book

Full name Data-driven Optimization and Control for Autonomous Energy Systems
Author Jian Sun, Jie Chen
Language English
Binding Book - Hardback
Date of issue 2025
Number of pages 164
EAN 9789819517817
ISBN 9819517818
Libristo code 49358320
Weight 446
Dimensions 155 x 235
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