Parameter estimation of internal thermal mass of building dynamic models using genetic algorithm

Keyphrases

• Genetic Algorithm 100%
• Dynamic Model 100%
• Parameter Estimation 100%
• Internal Mass 100%
• Thermal Network 100%
• Building Dynamics 100%
• Internal Thermal Mass 100%
• Operation Data 66%
• Physical Properties 33%
• Building Envelope 33%
• Furniture 33%
• Physical Model 33%
• Control Strategy 33%
• Weather Conditions 33%
• Performance Monitoring 33%
• Training Data 33%
• Network Structure 33%
• Thermal Parameters 33%
• Simplified Dynamic Model 33%
• Cooling Requirements 33%
• Thermal Capacitance 33%
• Diagnosis Strategy 33%
• Transient Heating 33%
• Monitoring Strategy 33%
• Physical Behavior 33%
• Thermal Mass 33%
• Amount of Training 33%
• Black-box Model 33%
• Performance Diagnosis 33%
• Site Monitoring 33%
• Transient Cooling 33%
• Thermal Transfer Model 33%
• Heating Requirements 33%
• Lumped Parameter 33%
• Performance Control 33%
• Strategic Analysis 33%

Engineering

• Parameter Estimation 100%
• Genetic Algorithm 100%
• Network Model 100%
• Dynamic Models 100%
• Collected Data 50%
• Control Strategy 50%
• Black-Box Model 50%
• Model Parameter 50%
• Building Envelope 50%
• Thermal Building 50%
• Cooling Requirement 50%
• Physical Behavior 50%
• Lumped Parameter 50%
• Thermal Capacitance 50%
• Heating Requirement 50%
• Transients 50%
• Physical Model 50%