Prediction of building power consumption using transfer learning-based reference building and simulation dataset

Engineering

• Transfer Learning 100%
• Long Short-Term Memory 83%
• Buildings 83%
• Electric Power Utilization 66%
• Simulation 66%
• Dataset 50%
• Prediction 50%
• High Accuracy 50%
• Climate Zone 33%
• Reference Building 33%
• Processing Technology 16%
• Office Buildings 16%
• Root Mean Square Error 16%
• Coefficient of Variation 16%
• Historical Data 16%
• Mean Bias Error 16%
• Performance 16%
• Development 16%
• Accuracy 16%
• Renewable Energy System 16%
• Microgrid 16%

Computer Science

• Power Consumption 66%
• Simulation 66%
• Memory Model 50%
• Dataset Source 33%
• Training Data 16%
• Coefficient of Variation 16%
• Historical Data 16%
• Accuracy 16%
• Data Analysis 16%
• Training Data Point 16%

Chemical Engineering

• Long Short-Term Memory 83%
• Learning System 16%