株式会社極東書店トップ ＞ 商品一覧 ＞ Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems. 2024 ed.
商品詳細
Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems. 2024 ed.
・ISBN 978-3-031-45356-4 hard EUR 109.99
￥29,399.- (税込) ※（※）価格はご注文時の参考価格となります。
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お気に入り
★★★
| 著者・編者 | Li, Fangxing / Du, Yan, |
|---|---|
| シリーズ | (Power Electronics and Power Systems) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2023 |
| ページ数 | 101 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-79907＞ |
解説
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.
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.