Development of surrogate models using artificial neural network for building shell energy labelling

Engineering

• Development 100%
• Energy Engineering 100%
• Artificial Neural Network 100%
• Surrogate Model 100%
• Building Shell 100%
• Accuracy 50%
• Models 50%
• Buildings 50%
• Input Parameter 50%
• Building Stock 50%
• Building Energy Performance 50%
• Performance 25%
• High Resolution 25%
• Simulation 25%
• Floors 25%
• Facades 25%
• Characteristics 25%
• Energy Simulation 25%
• Simulation Program 25%
• Input Data 25%
• Brazil 25%
• Energy Building 25%
• Main Factor 25%
• EnergyPlus 25%
• Sensitivity Analysis 25%
• Output Data 25%
• Artificial Neural Network Model 25%