Buch, Englisch, 101 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 348 g
Case Studies Linking Artificial Intelligence and Power Systems
Buch, Englisch, 101 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 348 g
Reihe: Power Electronics and Power Systems
ISBN: 978-3-031-45356-4
Verlag: Springer International Publishing
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Energietechnik | Elektrotechnik Energietechnik & Elektrotechnik
- Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Energie- & Versorgungswirtschaft
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
Weitere Infos & Material
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.