Applications of Deep Machine Learning in Future Energy Systems
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Applications of Deep Machine Learning in Future Energy Systems
Khooban, Mohammad-Hassan
Elsevier - Health Sciences Division
07/2024
250
Mole
9780443214325
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
1. Introduction
2. Artificial intelligence and Machine learning in Future Energy Systems (State-of-Art, future development)
3. Advanced Control of Power Electronics-based AI
4. Charging EV Market-based Deep Machine Learning
5. Deep Frequency Control of Power Grids Under Cyber Attacks
6. Application of AI in P2X Technology
7. Design of Next-Generation of 5G Data Center Power Supply based on AI
8. Smart EV Battery Charger Based on Deep Machine Learning
9. Uncertainty-Aware Management of Smart Grids Using Cloud-Based Prediction Interval
2. Artificial intelligence and Machine learning in Future Energy Systems (State-of-Art, future development)
3. Advanced Control of Power Electronics-based AI
4. Charging EV Market-based Deep Machine Learning
5. Deep Frequency Control of Power Grids Under Cyber Attacks
6. Application of AI in P2X Technology
7. Design of Next-Generation of 5G Data Center Power Supply based on AI
8. Smart EV Battery Charger Based on Deep Machine Learning
9. Uncertainty-Aware Management of Smart Grids Using Cloud-Based Prediction Interval
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Neuromorphic computing; machine learning; artificial intelligence; energy systems; power engineering; energy system modelling; energy modelling; energy management
1. Introduction
2. Artificial intelligence and Machine learning in Future Energy Systems (State-of-Art, future development)
3. Advanced Control of Power Electronics-based AI
4. Charging EV Market-based Deep Machine Learning
5. Deep Frequency Control of Power Grids Under Cyber Attacks
6. Application of AI in P2X Technology
7. Design of Next-Generation of 5G Data Center Power Supply based on AI
8. Smart EV Battery Charger Based on Deep Machine Learning
9. Uncertainty-Aware Management of Smart Grids Using Cloud-Based Prediction Interval
2. Artificial intelligence and Machine learning in Future Energy Systems (State-of-Art, future development)
3. Advanced Control of Power Electronics-based AI
4. Charging EV Market-based Deep Machine Learning
5. Deep Frequency Control of Power Grids Under Cyber Attacks
6. Application of AI in P2X Technology
7. Design of Next-Generation of 5G Data Center Power Supply based on AI
8. Smart EV Battery Charger Based on Deep Machine Learning
9. Uncertainty-Aware Management of Smart Grids Using Cloud-Based Prediction Interval
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
