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

Name: Deep Learning for Power System Applications
Brand: Springer International Publishing AG
SKU: 9783031453595
Price: 18000 KES
Availability: OutOfStock
ISBN: 9783031453595

by Fangxing Li , Yan Du

Book Details

Format Paperback / softback

Book Series Power Electronics and Power Systems

ISBN-10 303145359X

ISBN-13 9783031453595

Publisher Springer International Publishing AG

Imprint Springer International Publishing AG

Country of Manufacture GB

Country of Publication GB

Publication Date Nov 12th, 2024

Print length 101 Pages

Product Classification: The environment Electrical engineering Power generation & distribution Energy, power generation, distribution and storage Artificial intelligence Artificial intelligence (AI)Machine learning

KSh 18,000.00

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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.

Get Deep Learning for Power System Applications by Fangxing Li, Yan Du at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer International Publishing AG and it has 101 pages.