Deep Learning for Power System Applications : Case Studies Linking Artificial Intelligence and Power Systems
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
AI Summary
Ksh 18,000.00
Werezi Extended Catalogue
0 in stock
Delivery Location
Delivery fee: Select location
Secure
Quality
Fast
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.
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 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 pages.
Discover books you might love based on this title.
More in This Genre
Water, Food and Human Health in the Galapagos, Ecuador
Ksh 21,600.00
The Autonomous Web
Ksh 21,600.00
Future Intent-Based Networking
Ksh 36,000.00
New Global Ict-Based Business Models
Ksh 6,650.00
Answer Set Programming
Ksh 9,900.00
Using Artificial Neural Networks for Timeseries Smoothing and Forecasting
Ksh 23,400.00