Deep Learning for Power System Applications
Case Studies Linking Artificial Intelligence and Power Systems
Series: Power Electronics and Power Systems;
- Publisher's listprice EUR 117.69
-
49 924 Ft (47 546 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 8% (cc. 3 994 Ft off)
- Discounted price 45 929 Ft (43 742 Ft + 5% VAT)
49 924 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:
- Edition number 1st ed. 2024
- Publisher Springer
- Date of Publication 11 November 2023
- Number of Volumes 1 pieces, Book
- ISBN 9783031453564
- Binding Hardback
- No. of pages101 pages
- Size 235x155 mm
- Weight 348 g
- Language English
- Illustrations 2 Illustrations, black & white; 30 Illustrations, color 570
Categories
Short description:
- 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.
Long description:
- 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.
Table of Contents:
Introduction-A Brief History of Deep Learning and Its Applications in Power Systems.- Deep Neural Network for Microgrid Management.- Deep Convolutional Neural Network for Power System N-1 Contingency Screening and Cascading Outage Screening.- Intelligent Multi-zone Residential HVAC Control Strategy Based on Deep Reinforcement Learning.- Summary and Future Works.
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