Green Machine Learning and Big Data for Smart Grids
portes grátis
Green Machine Learning and Big Data for Smart Grids
Practices and Applications
Subramaniyaswamy, V.; Indragandhi, V.; Elakkiya, R.
Elsevier - Health Sciences Division
11/2024
400
Mole
9780443289514
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Introduction to Green Machine and Machine Learning in Smart Grids
2. Characteristics and Essential Technologies of Green Machine Learning in the Energy Sector
3. Smart Grid Stability Prediction through Big Data Analytics
4. Descriptive, Predictive, Prescriptive and Diagnostic Analytical Models for Managing Power Systems
5. Integrating Green Machine Learning and Big Data Framework for Renewable Energy Grids
6. Green Machine Learning with Big Data for Grid Operations
7. Big Data Green Machine Learning for Smart Metering
8. Analysis and Real-time Implementation of Power Line Disturbances Test in Smart Grids
9. Analysis and Implementation of Power Optimizer Using Sliding Mode Control enabled String Inverter for Renewable Applications
10. Smart Edge Devices for Electric Grid Computing
11. Combined Flyback Converter and Forward Converter Based Active Cell Balancing in Lithium-Ion Battery Cell for Smart Electric Vehicle Application
12. Predictive Modelling in Asset and Workforce Management
13. Sustainability Consideration of Smart Grid with Big Data Analytics in Social, Economic, Technical and Policy Aspects
14. Real-Time of Big Data and Analytics in Smart Grid and Energy Management Applications
15. Challenges and Future Directions
2. Characteristics and Essential Technologies of Green Machine Learning in the Energy Sector
3. Smart Grid Stability Prediction through Big Data Analytics
4. Descriptive, Predictive, Prescriptive and Diagnostic Analytical Models for Managing Power Systems
5. Integrating Green Machine Learning and Big Data Framework for Renewable Energy Grids
6. Green Machine Learning with Big Data for Grid Operations
7. Big Data Green Machine Learning for Smart Metering
8. Analysis and Real-time Implementation of Power Line Disturbances Test in Smart Grids
9. Analysis and Implementation of Power Optimizer Using Sliding Mode Control enabled String Inverter for Renewable Applications
10. Smart Edge Devices for Electric Grid Computing
11. Combined Flyback Converter and Forward Converter Based Active Cell Balancing in Lithium-Ion Battery Cell for Smart Electric Vehicle Application
12. Predictive Modelling in Asset and Workforce Management
13. Sustainability Consideration of Smart Grid with Big Data Analytics in Social, Economic, Technical and Policy Aspects
14. Real-Time of Big Data and Analytics in Smart Grid and Energy Management Applications
15. Challenges and Future Directions
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
AI; AI techniques; ANFIS; Adaptive fuzzy logic control; Advanced algorithms; And G2V; Artificial neural network; Auto encoder; Battery; Battery energy management systems; Battery thermal management; Binary manta ray foraging; Block chain technology; Computational intelligence; Conservation; Control strategies; Cyber security; Cybersecurity; Data analytics; Data preprocessing; Data science; Data security; Data-driven approaches; Database management system; Deep belief network; Deep learning; Demand management; Direct torque control; Distributed generation; Distribution systems; Electric vehicle; Electric vehicle charging; Electric vehicles (EVs); Electrical system; Electricity theft detection; Electrochemical energy storage; Emissions; Energy consumption; Energy efficiency; Energy engineering; Energy management; Energy resource; Energy sustainability; Energy systems; Energy types; Environmental considerations; Environmental management; Environmental monitoring; FL; Fault current limiter; Federated transfer learning; Field-oriented control; Fire hawk optimization; Fuzzy systems; Horizontal FL; IOT; Intelligent control; IoT; Life cycle assessment; Load forecasting; Machine learning; Machine learning algorithms; Maximum torque per ampere; Micro grid; Model reference adaptive current control; Modeling; Multiple FL models; Natural resources; Off-board charger; OneAPI; Optimization; PMSM; Power engineering; Power line disturbance; Prediction; Predictive; Privacy; Real-time data; Real-time implementation; Renewable energy; Renewable energy sources; Salp swarm algorithm (SSOA); Sensor; Sensorless control; Smart buildings; Smart grid; Smart grid technologies; Smart grids; Smartgrid; Stability prediction; Sustainability; Sustainability engineering; Sustainable development; Sustainable energy; Sustainable practices; Temperature; Thermal management; Trans-formative; V2G; Vertical FL
1. Introduction to Green Machine and Machine Learning in Smart Grids
2. Characteristics and Essential Technologies of Green Machine Learning in the Energy Sector
3. Smart Grid Stability Prediction through Big Data Analytics
4. Descriptive, Predictive, Prescriptive and Diagnostic Analytical Models for Managing Power Systems
5. Integrating Green Machine Learning and Big Data Framework for Renewable Energy Grids
6. Green Machine Learning with Big Data for Grid Operations
7. Big Data Green Machine Learning for Smart Metering
8. Analysis and Real-time Implementation of Power Line Disturbances Test in Smart Grids
9. Analysis and Implementation of Power Optimizer Using Sliding Mode Control enabled String Inverter for Renewable Applications
10. Smart Edge Devices for Electric Grid Computing
11. Combined Flyback Converter and Forward Converter Based Active Cell Balancing in Lithium-Ion Battery Cell for Smart Electric Vehicle Application
12. Predictive Modelling in Asset and Workforce Management
13. Sustainability Consideration of Smart Grid with Big Data Analytics in Social, Economic, Technical and Policy Aspects
14. Real-Time of Big Data and Analytics in Smart Grid and Energy Management Applications
15. Challenges and Future Directions
2. Characteristics and Essential Technologies of Green Machine Learning in the Energy Sector
3. Smart Grid Stability Prediction through Big Data Analytics
4. Descriptive, Predictive, Prescriptive and Diagnostic Analytical Models for Managing Power Systems
5. Integrating Green Machine Learning and Big Data Framework for Renewable Energy Grids
6. Green Machine Learning with Big Data for Grid Operations
7. Big Data Green Machine Learning for Smart Metering
8. Analysis and Real-time Implementation of Power Line Disturbances Test in Smart Grids
9. Analysis and Implementation of Power Optimizer Using Sliding Mode Control enabled String Inverter for Renewable Applications
10. Smart Edge Devices for Electric Grid Computing
11. Combined Flyback Converter and Forward Converter Based Active Cell Balancing in Lithium-Ion Battery Cell for Smart Electric Vehicle Application
12. Predictive Modelling in Asset and Workforce Management
13. Sustainability Consideration of Smart Grid with Big Data Analytics in Social, Economic, Technical and Policy Aspects
14. Real-Time of Big Data and Analytics in Smart Grid and Energy Management Applications
15. Challenges and Future Directions
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
AI; AI techniques; ANFIS; Adaptive fuzzy logic control; Advanced algorithms; And G2V; Artificial neural network; Auto encoder; Battery; Battery energy management systems; Battery thermal management; Binary manta ray foraging; Block chain technology; Computational intelligence; Conservation; Control strategies; Cyber security; Cybersecurity; Data analytics; Data preprocessing; Data science; Data security; Data-driven approaches; Database management system; Deep belief network; Deep learning; Demand management; Direct torque control; Distributed generation; Distribution systems; Electric vehicle; Electric vehicle charging; Electric vehicles (EVs); Electrical system; Electricity theft detection; Electrochemical energy storage; Emissions; Energy consumption; Energy efficiency; Energy engineering; Energy management; Energy resource; Energy sustainability; Energy systems; Energy types; Environmental considerations; Environmental management; Environmental monitoring; FL; Fault current limiter; Federated transfer learning; Field-oriented control; Fire hawk optimization; Fuzzy systems; Horizontal FL; IOT; Intelligent control; IoT; Life cycle assessment; Load forecasting; Machine learning; Machine learning algorithms; Maximum torque per ampere; Micro grid; Model reference adaptive current control; Modeling; Multiple FL models; Natural resources; Off-board charger; OneAPI; Optimization; PMSM; Power engineering; Power line disturbance; Prediction; Predictive; Privacy; Real-time data; Real-time implementation; Renewable energy; Renewable energy sources; Salp swarm algorithm (SSOA); Sensor; Sensorless control; Smart buildings; Smart grid; Smart grid technologies; Smart grids; Smartgrid; Stability prediction; Sustainability; Sustainability engineering; Sustainable development; Sustainable energy; Sustainable practices; Temperature; Thermal management; Trans-formative; V2G; Vertical FL
