Smart Energy and Electric Power Systems
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portes grátis
Smart Energy and Electric Power Systems
Current Trends and New Intelligent Perspectives
Holm-Nielsen, Jens Bo; Balusamy, Balamurugan; Dhanaraj, Rajesh Kumar; Padmanandam, Kayal; Padmanaban, Sanjeevikumar
Elsevier - Health Sciences Division
09/2022
226
Mole
Inglês
9780323916646
15 a 20 dias
360
Descrição não disponível.
1. Introduction: Artificial intelligence and Smart Power Systems
2. Integrated Architecture of Machine Learning and Smart Power System
3. Challenges and issues in Power Systems
4. Load shedding and related techniques to solve the power crisis
5. ML in distributed energy resources and prosumers market
6. ML-based electricity demand prediction
7. Applying ML to determine the power outage
8. Predictive and Prescriptive analytics for component fault detection
9. Balancing demand and supply of electricity with machine learning
10. Preventive care of grid hardware with anomaly detection
11. AI-based Smart feeder monitoring system
12. Algorithms for buss loss and reliability indices calculations
13. ML-based security solutions to protect smart power systems
14. Cyber-attacks ,security data detection, and critical loads in the power systems
15. Integration of AI/ML into the energy sector: Case Studies
2. Integrated Architecture of Machine Learning and Smart Power System
3. Challenges and issues in Power Systems
4. Load shedding and related techniques to solve the power crisis
5. ML in distributed energy resources and prosumers market
6. ML-based electricity demand prediction
7. Applying ML to determine the power outage
8. Predictive and Prescriptive analytics for component fault detection
9. Balancing demand and supply of electricity with machine learning
10. Preventive care of grid hardware with anomaly detection
11. AI-based Smart feeder monitoring system
12. Algorithms for buss loss and reliability indices calculations
13. ML-based security solutions to protect smart power systems
14. Cyber-attacks ,security data detection, and critical loads in the power systems
15. Integration of AI/ML into the energy sector: Case Studies
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
?ANN; Artificial intelligence; Authentication; Blockchain; CNN; Challenges; Control distributed systems; Converters; Cyber security; Data analytics and globe; Deep learning; Demand management; Directional overcurrent relay; Discriminant analysis; Electricity; Electricity market deregulation; Electricity wastage; Encryption; Energy storage system; Future power systems; Improved ant colony optimization; Improved differential evolution algorithm; Internet of Things; Internet of everything; Internet of things; Lab VIEW; Machine learning; Management architectures; Microgrid; Object detection; Optimization methods; Outage management; Power system; Power systems; Protection coordination; Renewable generation; Resilient power systems; Risk management; Secured payment; Smart energy; Smart grid; Smart grid: monitoring system; Smart grids; Smart meters; Storage systems; Sustainable power systems; Wind turbine; YOLO
1. Introduction: Artificial intelligence and Smart Power Systems
2. Integrated Architecture of Machine Learning and Smart Power System
3. Challenges and issues in Power Systems
4. Load shedding and related techniques to solve the power crisis
5. ML in distributed energy resources and prosumers market
6. ML-based electricity demand prediction
7. Applying ML to determine the power outage
8. Predictive and Prescriptive analytics for component fault detection
9. Balancing demand and supply of electricity with machine learning
10. Preventive care of grid hardware with anomaly detection
11. AI-based Smart feeder monitoring system
12. Algorithms for buss loss and reliability indices calculations
13. ML-based security solutions to protect smart power systems
14. Cyber-attacks ,security data detection, and critical loads in the power systems
15. Integration of AI/ML into the energy sector: Case Studies
2. Integrated Architecture of Machine Learning and Smart Power System
3. Challenges and issues in Power Systems
4. Load shedding and related techniques to solve the power crisis
5. ML in distributed energy resources and prosumers market
6. ML-based electricity demand prediction
7. Applying ML to determine the power outage
8. Predictive and Prescriptive analytics for component fault detection
9. Balancing demand and supply of electricity with machine learning
10. Preventive care of grid hardware with anomaly detection
11. AI-based Smart feeder monitoring system
12. Algorithms for buss loss and reliability indices calculations
13. ML-based security solutions to protect smart power systems
14. Cyber-attacks ,security data detection, and critical loads in the power systems
15. Integration of AI/ML into the energy sector: Case Studies
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
?ANN; Artificial intelligence; Authentication; Blockchain; CNN; Challenges; Control distributed systems; Converters; Cyber security; Data analytics and globe; Deep learning; Demand management; Directional overcurrent relay; Discriminant analysis; Electricity; Electricity market deregulation; Electricity wastage; Encryption; Energy storage system; Future power systems; Improved ant colony optimization; Improved differential evolution algorithm; Internet of Things; Internet of everything; Internet of things; Lab VIEW; Machine learning; Management architectures; Microgrid; Object detection; Optimization methods; Outage management; Power system; Power systems; Protection coordination; Renewable generation; Resilient power systems; Risk management; Secured payment; Smart energy; Smart grid; Smart grid: monitoring system; Smart grids; Smart meters; Storage systems; Sustainable power systems; Wind turbine; YOLO
