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Details for: Wang G. Data-driven Optimization and Control for Autonomous Energy Systems 2025

wang g data driven optimization control autonomous energy systems 2025

Type:: E-books
Files:: 1
Size:: 13.8 MB
Uploaded On:: Oct. 23, 2025, 12:04 p.m.
Added By:: andryold1
Seeders:: 3
Leechers:: 4
Info Hash:: 59533BB9EBA57923AA73FD3F5100C30263F10815

Textbook in PDF format 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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Wang G. Data-driven Optimization and Control for Autonomous Energy Systems 2025.pdf 13.8 MB

Details for: Wang G. Data-driven Optimization and Control for Autonomous Energy Systems 2025

wang g data driven optimization control autonomous energy systems 2025

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