Deep Learning for Power System Applications
- Indbinding:
- Hardback
- Sideantal:
- 116
- Udgivet:
- 11. november 2023
- Udgave:
- 23001
- Størrelse:
- 160x13x241 mm.
- Vægt:
- 348 g.
- 8-11 hverdage.
- 27. november 2024
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- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Deep Learning for Power System Applications
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.
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.
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Bogen Deep Learning for Power System Applications findes i følgende kategorier:
- Business og læring > Computer og IT
- Geofag, geografi og miljøvidenskab > Miljø
- Teknologi, ingeniørvidenskab og landbrug > Energiteknik > Elektroteknik
- Teknologi, ingeniørvidenskab og landbrug > Energiteknik > Energi, elproduktion, eldistribution og energilagring
- Databehandling og informationsteknologi > Informatik > Kunstig intelligens > Machine learning
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