Transfer learning for cross-building forecasting of building energy and indoor air temperature in model predictive control applications

Keyphrases

• Synthetic Data 100%
• Model Predictive Control 100%
• Control Applications 100%
• Building Energy 100%
• Transfer Learning 100%
• Indoor Temperature 100%
• Building Indoors 100%
• Cross-building 100%
• Heating Ventilation 66%
• Air Conditioning 66%
• Training Phase 33%
• Temperature Profile 33%
• Prediction Accuracy 33%
• Neural Network Model 33%
• Data-driven Model 33%
• EnergyPlus 33%
• Transfer Learning Model 33%
• Energy Demand 33%
• Operation Data 33%
• New Buildings 33%
• Limited Measurements 33%
• Black-box Model 33%
• Limited Data Condition 33%
• Indoor Air 33%
• Building Retrofit 33%
• Building Model 33%
• Forecast Performance 33%
• Address Data 33%
• Real Building 33%
• Air Condition 33%
• Iterative Learning Model Predictive Control (ILMPC) 33%
• World-building 33%
• Building Ventilation 33%
• Short-time Energy 33%
• Precise Data 33%
• Data Limitations 33%

Engineering

• Predictive Control Model 100%
• Indoor Air 100%
• Transfer Learning 100%
• Limitations 33%
• Applicability 33%
• Temperature Profile 33%
• Model Building 33%
• Network Model 33%
• Term Energy 33%
• EnergyPlus 33%
• Air Conditioning System 33%
• Air Conditioning 33%
• Black-Box Model 33%
• Air Condition 33%
• Conditioning Energy 33%
• Model-based predictive control 33%