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

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Publisher ‏ : ‎ Springer (November 12, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 116 pages
ISBN-10 ‏ : ‎ 303145359X
ISBN-13 ‏ : ‎ 978-3031453595
Item Weight ‏ : ‎ 6.3 ounces
Dimensions ‏ : ‎ 6.1 x 0.27 x 9.25 inches

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

In recent years, there has been a growing interest in the application of deep learning techniques to power systems. Deep learning, a subset of artificial intelligence, has shown great promise in solving complex problems in various domains, including power systems.

In the book “Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems,” researchers and practitioners explore the use of deep learning in power system applications. The book provides a comprehensive overview of the latest research and developments in this field, with a focus on case studies that demonstrate the effectiveness of deep learning in solving real-world power system problems.

The case studies presented in the book cover a wide range of applications, including load forecasting, fault detection, power quality monitoring, and energy management. Each case study highlights the benefits of using deep learning techniques, such as improved accuracy, efficiency, and scalability.

Overall, “Deep Learning for Power System Applications” provides valuable insights into the potential of artificial intelligence in transforming the power systems industry. Whether you are a researcher, engineer, or student interested in the intersection of deep learning and power systems, this book is a must-read for anyone looking to stay at the forefront of this rapidly evolving field.
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