Urban building energy performance prediction and retrofit analysis using data-driven machine learning approach

Keyphrases

• Prediction Analysis 100%
• Machine Learning Approach 100%
• Building Energy Performance 100%
• Energy Performance Prediction 100%
• Data-driven Machine Learning 100%
• Energy Performance 50%
• Ensemble-based 50%
• Parametric Modeling 50%
• Urban Planners 50%
• Machine Learning Modeling 50%
• Energy Data 25%
• Machine Learning 25%
• Modeling Process 25%
• Proposed Methodology 25%
• Informed Decision-making 25%
• Model Performance 25%
• Prediction Accuracy 25%
• Energy Performance Modeling 25%
• Hot Water 25%
• Physics-based 25%
• Planning Practice 25%
• Energy Consumption Reduction 25%
• Building Model 25%
• Energy Usage 25%
• Built Environment 25%
• Heating Water 25%
• Building Energy Simulation 25%
• Five Steps 25%
• Urban Scale 25%
• Residential Buildings 25%
• Building Data 25%
• Energy Emission 25%
• Step Data 25%
• Lighting Equipment 25%
• Traditional Planning 25%
• Traditional Machine Learning 25%
• Residential Building Stock 25%
• Energy Performance Analysis 25%
• Urban Energy 25%
• Retrofit Measures 25%

Engineering

• Retrofit 100%
• Performance Prediction 100%
• Learning Approach 100%
• Building Energy Performance 100%
• Energy Performance 42%
• Residential Building 42%
• Policymakers 28%
• Parametric Modeling 28%
• Photovoltaics 14%
• Model Building 14%
• Accurate Prediction 14%
• Performance Analysis 14%
• Hot Water 14%
• Energy Usage 14%
• Built Environment 14%
• Energy Modeling 14%
• Reducing Energy Consumption 14%
• Lighting Equipment 14%
• Building Stock 14%