A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management

Computer Science

• Demand Response 100%
• Reinforcement Learning 100%
• multi agent 100%
• Simulation 50%
• Scheduling 50%
• Energy Consumption 50%
• Superior Performance 50%
• System Management 50%
• Learning Algorithm 50%
• discrete-time 50%
• Scheduling Problem 50%
• Markov Decision Process 50%
• Home Appliance 50%
• Electricity Bill 50%
• Management Framework 50%
• Extreme Learning Machine 50%

Engineering

• Energy Management 100%
• Reinforcement Learning 100%
• Electric Vehicle 66%
• Prediction 33%
• Test Result 33%
• Energy Engineering 33%
• Performance 33%
• Simulation 33%
• Demonstrates 33%
• Discrete Time 33%
• Networks 33%
• Houses 33%
• Photovoltaics 33%
• Windows 33%
• Appliances 33%
• Electricity Price 33%
• Home Appliance 33%
• Photovoltaic Panel 33%
• Based Demand Response 33%
• Learning Algorithm 33%
• Extreme Learning Machine 33%
• Real Data 33%
• Q-Learning 33%