Green Machine Learning and Big Data for Smart Grids

1. Introduction to Green Machine and Machine Learning in Smart Grids<br>2. Characteristics and Essential Technologies of Green Machine Learning in the Energy Sector<br>3. Smart Grid Stability Prediction through Big Data Analytics<br>4. Descriptive, Predictive, Prescriptive and Diagnostic Analytical Models for Managing Power Systems<br>5. Integrating Green Machine Learning and Big Data Framework for Renewable Energy Grids<br>6. Green Machine Learning with Big Data for Grid Operations<br>7. Big Data Green Machine Learning for Smart Metering<br>8. Analysis and Real-time Implementation of Power Line Disturbances Test in Smart Grids<br>9. Analysis and Implementation of Power Optimizer Using Sliding Mode Control enabled String Inverter for Renewable Applications<br>10. Smart Edge Devices for Electric Grid Computing<br>11. Combined Flyback Converter and Forward Converter Based Active Cell Balancing in Lithium-Ion Battery Cell for Smart Electric Vehicle Application<br>12. Predictive Modelling in Asset and Workforce Management<br>13. Sustainability Consideration of Smart Grid with Big Data Analytics in Social, Economic, Technical and Policy Aspects<br>14. Real-Time of Big Data and Analytics in Smart Grid and Energy Management Applications<br>15. Challenges and Future Directions