Data-Driven Tools for Building Energy Consumption Prediction: A Review

Keyphrases

• Data Management Tools 100%
• Building Energy Prediction 100%
• Support Vector Machine 28%
• Energy Consumption Prediction 28%
• Linear Regression 14%
• Small Sample Size 14%
• Autoregressive Integrated Moving Average (ARIMA) 14%
• Artificial Neural Network 14%
• Energy Conservation 14%
• Energy Planning 14%
• Random Forest 14%
• Building Type 14%
• Evaluating Performance 14%
• Tool Performance 14%
• Statistical Tools 14%
• Data Properties 14%
• Gaps in Research 14%
• Selection Tool 14%
• Proposed Guidelines 14%

Engineering

• Support Vector Machine 100%
• Good Result 50%
• Energy Planning 50%
• Moving Average 50%
• Random Forest 50%
• Artificial Neural Network 50%

Chemical Engineering

• Support Vector Machine 100%
• Neural Network 50%