A Novel Model-Free Deep Reinforcement Learning Framework for Energy Management of a PV Integrated Energy Hub

Keyphrases

• Energy Management 100%
• Reinforcement Learning Framework 100%
• Energy Hub 100%
• Energy Cost 66%
• Energy Emission 66%
• Deep Deterministic Policy Gradient 66%
• Physical Characteristics 33%
• Effective Control 33%
• Control Strategy 33%
• Optimal Policy 33%
• Combined Heat Power 33%
• Stochastic Programming 33%
• Robust Optimization 33%
• Programming Approaches 33%
• Optimization Programming 33%
• Scheduling Problem 33%
• Cloudy Day 33%
• Convolutional Neural Network 33%
• Heat Units 33%
• Efficient Operation 33%
• Feasible Operation Region 33%
• Continuous State Space 33%
• Non-convexity 33%
• Coping with Uncertainty 33%
• Scheduling Framework 33%
• Intelligent Controller 33%
• Power Unit 33%
• Deep Reinforcement Learning (deep RL) 33%
• Deep Reinforcement Learning Algorithm 33%
• Continuous Action Space 33%
• Reduced Energy 33%
• Minimize Energy 33%

Engineering

• Energy Management 100%
• Deep Reinforcement Learning 100%
• Applicability 33%
• Control Strategy 33%
• Minimizing Energy 33%
• Power Generation 33%
• Continuous State 33%
• Cogeneration Combined Cooling Heating Power 33%
• Optimal Policy 33%
• Operating Region 33%
• Convolutional Neural Network 33%
• Fuel Cell 33%
• Long Short-Term Memory 33%
• Action Space 33%
• Lstm 33%
• Case Study 33%