Deep Learning Networks for Vectorized Energy Load Forecasting

Mathematics

• Load Forecasting 100%
• Learning 43%
• Weather 39%
• Energy 32%
• Autoregressive Model 21%
• Nonlinear Model 18%
• Smart Grid 18%
• Energy Efficiency 16%
• Time Series Forecasting 15%
• Granularity 13%
• Memory Term 12%
• Recurrent Neural Networks 12%
• Forecasting 11%
• Correlation coefficient 10%
• MATLAB 10%
• Mean square error 9%
• Completeness 8%
• Output 7%
• Model 6%
• Term 5%

Business & Economics

• Learning Networks 67%
• Deep Learning 66%
• Energy 37%
• Weather 29%
• Autoregressive Model 21%
• Energy Forecasting 15%
• Information Load 15%
• Recurrent Neural Networks 13%
• Smart Grid 13%
• Time Series Forecasting 11%
• Input-output Model 10%
• Forecasting Method 10%
• Correlation Coefficient 10%
• Completeness 9%
• Energy Efficiency 9%
• Factors 3%

Engineering & Materials Science

• Dynamic loads 48%
• Deep learning 43%
• Loads (forces) 14%
• Long short-term memory 14%
• Recurrent neural networks 12%
• Smart power grids 11%
• Mean square error 11%
• MATLAB 9%
• Energy efficiency 9%