Temporal and Spectral Feature Learning with Two-Stream Convolutional Neural Networks for Appliance Recognition in NILM

Computer Science

• Temporal Feature 100%
• Convolutional Neural Network 100%
• Representation Learning 100%
• Spectral Feature 100%
• Deep Learning 50%
• Experimental Result 50%
• Energy Consumption 50%
• Recognition Accuracy 50%
• Classification Models 50%
• Negative Impact 50%
• Affinity Propagation 50%
• Operating State 50%

Earth and Planetary Sciences

• Energy Consumption 100%

Engineering

• Operating Energy 50%