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

Keyphrases

• Bidirectional Long Short-term Memory (BiLSTM) 25%
• Cell Dynamics 25%
• Cloudy Day 25%
• Combined Heat Power 25%
• Continuous State Space 25%
• Control Strategy 25%
• Convolutional Neural Network 25%
• Coping with Uncertainty 25%
• Deep Reinforcement Learning (deep RL) 50%
• Effective Control 25%
• Efficient Operation 25%
• Energy Cost 50%
• Energy Emission 50%
• Energy Hub 100%
• Energy Management 100%
• Energy Minimization 25%
• Energy Reduction 25%
• Feasible Operation Region 25%
• Fuel Cell 25%
• Heat Units 25%
• Integrated Energy 100%
• Intelligent Controller 25%
• Nonconvex 25%
• Optimal Policy 25%
• Optimization Programming 25%
• Physical Characteristics 25%
• Policy Gradient Method 25%
• Power Unit 25%
• Programming Approaches 25%
• Reinforcement Learning Algorithm 25%
• Reinforcement Learning Framework 100%
• Robust Optimization 25%
• Scheduling Framework 25%
• Scheduling Problem 25%
• Stochastic Programming 25%

Engineering

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

Chemical Engineering

• Long Short-Term Memory 33%
• Reinforcement Learning 100%