Optimization of Power-to-Heat Flexibility for Residential Buildings in Response to Day-Ahead Electricity Price

Keyphrases

• Heat Consumption 100%
• Residential Buildings 100%
• Renewable Power 100%
• Power System Flexibility 100%
• Heat Power 100%
• Day-ahead Electricity Price 100%
• Economic Model Predictive Control 100%
• Denmark 50%
• Maximum Likelihood Method 50%
• Identification Method 50%
• Renewable Energy 50%
• Power System 50%
• Heat Pump 50%
• Electricity Price 50%
• District Heating 50%
• Volatility 50%
• Responsive Buildings 50%
• Constant Parameters 50%
• Economic Approach 50%
• Thermal Dynamics 50%
• Model Identification 50%
• Temperature Zones 50%
• Intermittency 50%
• Danish Electricity Market 50%
• Thermal Storage 50%
• Real-time Sensor Data 50%
• Residential Sector 50%
• Demand Flexibility 50%
• Power Availability 50%
• Occupancy Patterns 50%
• Thermal Inertia 50%
• Hedging 50%
• Energy Consumption Cost 50%
• Economic Alternatives 50%

Engineering

• Electricity Price 100%
• Residential Building 100%
• Power Engineering 100%
• Renewables 66%
• Economic Model Predictive Control 66%
• Applicability 33%
• Demand Side 33%
• District Heating 33%
• Sensor Data 33%
• Maximum Likelihood 33%
• Thermal Energy Storage 33%
• Residential Sector 33%
• Thermal Inertia 33%
• Temperature Zone 33%
• Energy Engineering 33%
• Renewable Energy 33%
• Heat Pump 33%
• Likelihood Function 33%