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Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power
Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power
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ISBN 9783031453564
Springer
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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Product details
BrandSpringer
Pub dateNov 11, 2023
ISBN-103031453565
ISBN-139783031453564
Hardcover113.0 pages
LanguageEnglish
Dimensions9.21 × 0.31 × 6.14 in
Weight1 lb
Last updated 2026-03-02 15:41
$125.03
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