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Data-driven Optimization and Control for Autonomous Energy Systems

By Gang Wang

Data-driven Optimization and Control for Autonomous Energy Systems

By Gang Wang

0 - Default Title
Description
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.
Product details
Number of Pages:
164
Release Date:
2025-10-20
Publication Date:
2025-10-20
Publisher:
Springer
Languages:
Original: English
ISBN10:
9819517818
ISBN13:
9789819517817
GPSR Manufacturer Reference:
[email protected]
Weight:
446 g
Height:
160 cm
Width:
241 cm
Thickness:
15 cm
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