Physics-Aware Machine Learning for Integrated Energy Systems Management

1. Introduction<br>2. The Need for Integrated Energy Systems Management<br>3. Attributes of Integrated Energy Systems in Modern Energy Grids<br>4. Physical-economic Models for Integrated Energy Systems Management<br>5. Decision-making Tools for the Optimal Operation and Planning of Integrated Energy Systems<br>6. Energy Storage Systems for Integrated Energy Systems Management<br>7. Applicability of Machine Learning Techniques in Managing Integrated Energy Systems<br>8. Physics-aware Machine Learning for Integrated Energy Systems Management<br>9. Physics-aware Machine Learning for Improving the Sustainability of Integrated Energy Systems<br>10. Physics-aware Machine Learning for Cyber-security Assessment of Integrated Energy Systems Management<br>11. Physics-aware Reinforcement Learning for Integrated Energy Systems Management<br>12. Physics-aware Feature Learning for Integrated Energy Systems Management<br>13. Physics-aware Neural Networks for Integrated Energy Systems Management<br>14. Physics-aware Machine Learning for Integrated Energy Interaction Management