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

Keyphrases

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

Engineering

• Energy Building 100%
• Support Vector Machine 66%
• Energy Engineering 66%
• Random Forest 33%
• Energy Planning 33%
• Good Result 33%
• Moving Average 33%
• Artificial Neural Network 33%

Chemical Engineering

• Support Vector Machine 100%
• Neural Network 50%