Towards data-driven energy consumption forecasting of multi-family residential buildings: Feature selection via the Lasso

Keyphrases

• Least Absolute Shrinkage and Selection Operator (LASSO) 100%
• Building Features 100%
• Energy Consumption Prediction 100%
• Feature Selection 100%
• Multi-family Residential Buildings 100%
• Energy Consumption 66%
• Forecasting Model 66%
• Building Energy Consumption 66%
• United States 33%
• New York City 33%
• Selection Strategy 33%
• High-resolution 33%
• Data Acquisition System 33%
• Linear Regression 33%
• Prediction Accuracy 33%
• Energy Efficiency 33%
• Geometric Properties 33%
• Machine Learning 33%
• Building Materials 33%
• Selected Subset 33%
• Machine Learning Techniques 33%
• Learning to Forecast 33%
• Residential Energy Consumption 33%
• Residential Energy 33%
• Shrinkage Methods 33%
• Interpretable Predictive Models 33%
• Intermittent Renewable Energy 33%
• Feature Subset 33%
• Renewable Electricity 33%
• Energy Consumption Data 33%
• Energy Forecasting 33%
• Sensing System 33%
• Sparse Coefficients 33%
• Domain-specific Knowledge 33%

Engineering

• Energy Engineering 100%
• Feature Extraction 100%
• Residential Building 100%
• Energy Building 40%
• High Resolution 20%
• Data Acquisition System 20%
• Accurate Prediction 20%
• Building Construction 20%
• Energy Consumption Data 20%
• Selection Method 20%
• Intermittent Renewables 20%
• Machine Learning Technique 20%
• Energy Efficiency 20%
• Renewable Energy 20%
• Sensing System 20%
• Energy Conservation 20%

Economics, Econometrics and Finance

• Machine Learning 100%
• Forecasting of Consumption 100%
• Energy Forecasting 50%
• Energy Supply 50%
• Energy Conservation 50%