Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges

Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges With large-scale integration of renewable generation and distributed energy resources, modern power systems are confronted with new operational challenges, such as growing complexity, increasing uncertainty, and aggravating volatility. Meanwhile, more and more data are becoming available owing to the widespread deployment of smart meters, smart sensors, and upgraded communication networ...