Data-driven approach to predicting the energy performance of residential buildings using minimal input data

Engineering

• Models 100%
• Regression 83%
• Artificial Neural Network 66%
• Supports 66%
• Vectors 66%
• Heating Energy 50%
• Energy Demand 50%
• Buildings 50%
• Prediction 33%
• Houses 33%
• Retro-Fitting 16%
• Residential Building 16%
• Energy Performance 16%
• Input Data 16%
• Energy Modelling 16%
• Relative Error 16%
• Fields 16%
• Energy Engineering 16%
• Heating 16%