Predicting the indoor thermal data for heating season based on short-term measurements to calibrate the simulation set-points

Keyphrases

• Short-term Measurements 100%
• Thermal Data 100%
• Heating Season 100%
• Artificial Neural Network 33%
• Monitoring System 33%
• Humidity 33%
• Heating Consumption 33%
• Artificial Neural Network Model 16%
• Prediction Model 16%
• Consumption Data 16%
• Building Operation 16%
• Wind Speed 16%
• Residential Buildings 16%
• Thermal Performance 16%
• Atmospheric Pressure 16%
• Output Layer 16%
• Performance Data 16%
• Calibration Process 16%
• Input Layer 16%
• Hidden Layer 16%
• Wind Direction 16%
• Temperature-humidity Index 16%
• Unexpected Conditions 16%
• Measurement Time 16%
• Measurement Period 16%
• Variable Input 16%
• Backpropagation 16%
• Heating System 16%
• Real-time Calibration 16%
• Outside Temperature 16%
• Dew Point Temperature 16%
• Solar Azimuth Angle 16%
• Solar Heating 16%
• Dry Bulb Temperature 16%

Engineering

• Set Point 100%
• Heating Season 100%
• Measured Data 66%
• Artificial Neural Network 50%
• Monitoring System 33%
• Simulated Data 33%
• Artificial Neural Network Model 16%
• Measurement Time 16%
• Residential Building 16%
• Relative Humidity 16%
• Thermal Performance 16%
• Performance Data 16%
• Calibration Process 16%
• Hidden Layer 16%
• Output Layer 16%
• Input Layer 16%
• Measurement Point 16%
• Dew Point 16%
• Measurement Period 16%
• Dry Bulb Temperature 16%
• Point Temperature 16%
• Heating System 16%
• Atmospheric Pressure 16%