Real-time power scheduling through reinforcement learning from demonstrations

Engineering

• Reinforcement Learning 100%
• Nodes 50%
• Convergence Speed 50%
• Power Engineering 50%
• Renewable Energy 50%
• Reanalysis 50%
• Design Function 50%
• Limited Performance 50%
• Decision Time 50%
• Optimal Power Flow 50%
• Search Mechanism 50%
• Unit Commitment 50%

Computer Science

• Decision-Making 100%
• Reinforcement Learning 100%
• optimal power 50%
• Expert Knowledge 50%
• Speed Convergence 50%
• Tree Search 50%
• Search Mechanism 50%
• Candidate Action 50%
• Unit Commitment 50%

Psychology

• Decision Making 100%