Machine learning modelling for predicting non-domestic buildings energy performance: a model to support deep energy retrofit decision-making

Keyphrases

• Building Energy Performance 100%
• Machine Learning Modeling 100%
• Non-domestic Buildings 100%
• Deep Energy Retrofit 100%
• Solution Space 40%
• Articial Intelligence 40%
• Aging 20%
• Sensitivity Analysis 20%
• Design Process 20%
• Model-driven Development 20%
• Time Complexity 20%
• Multi-objective Optimization 20%
• Machine Learning 20%
• Machine Learning Models 20%
• Energy Performance 20%
• Root Mean Square Error 20%
• Carbon Emissions 20%
• Feature Extraction 20%
• Performance Estimation 20%
• Energy Simulation 20%
• Building Energy 20%
• Performance Prediction Model 20%
• Evolutionary Algorithms 20%
• High Time 20%
• New Build 20%
• Deep Energy Levels 20%
• Energy Performance Prediction 20%
• Energy Take 20%
• Strategy Design 20%
• Case Study Building 20%
• Intelligence Application 20%
• Requirements Extraction 20%

Engineering

• Building Energy Performance 100%
• Deep Energy Retrofit 100%
• Domestic Building 100%
• Learning System 100%
• Energy Engineering 60%
• Energy Performance 40%
• Space Solution 40%
• Design Process 20%
• Multiobjective Optimization 20%
• Root Mean Square Error 20%
• Performance Prediction 20%
• Feature Extraction 20%
• Energy Simulation 20%
• Case Study Building 20%