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Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems

-20% su kodu: BOOKS
149,06 
Įprasta kaina: 186,32 
-20% su kodu: BOOKS
Kupono kodas: BOOKS
Akcija baigiasi: 2025-03-09
-20% su kodu: BOOKS
149,06 
Įprasta kaina: 186,32 
-20% su kodu: BOOKS
Kupono kodas: BOOKS
Akcija baigiasi: 2025-03-09
-20% su kodu: BOOKS
2025-02-28 186.3200 InStock
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Knygos aprašymas

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.

Informacija

Autorius: Yan Du, Fangxing Li,
Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2023
Knygos puslapių skaičius: 116
ISBN-10: 3031453565
ISBN-13: 9783031453564
Formatas: 241 x 160 x 13 mm. Knyga kietu viršeliu
Kalba: Anglų

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