Keyphrases
Cluster-based
100%
Time-invariant
100%
Fuzzy Clustering
100%
Invariant Features
100%
Short-term Load Forecasting
100%
Deep Learning
100%
Deep Neural Network
100%
Power Grid System
100%
Time Features
27%
Time Series Data
18%
Load Consumption
18%
Prediction Accuracy
9%
Building Space
9%
User Groups
9%
Building Floors
9%
Meteorology
9%
Time of Use
9%
Cost Efficiency
9%
Feature Invariants
9%
Correlated Features
9%
Power Load
9%
Convolution Neural Network
9%
Effective Learning
9%
Time-varying Dynamics
9%
Feature Enhancement
9%
Security Efficiency
9%
Long Short-term Memory Network
9%
Isolation Material
9%
Neural Network Method
9%
Network Use
9%
Smart Sensor Technologies
9%
User Load
9%
Space Age
9%
Engineering
Power Grid
100%
Grid System
100%
Load Forecasting
100%
Deep Learning Method
100%
Deep Neural Network
100%
Network Model
36%
Data Series
18%
Experimental Result
9%
Accurate Prediction
9%
Floors
9%
Smart Sensors
9%
Load Power
9%
Cost Efficiency
9%
Neural Network Approach
9%
Convolutional Neural Network
9%
Lstm
9%
Computer Science
Deep Neural Network
100%
Deep Learning Method
100%
Fuzzy Clustering
100%
Grid Computing
100%
Neural Network Model
36%
Invariant
36%
Time Series Data
18%
Convolutional Neural Network
9%
Neural Network Approach
9%
Cost Efficiency
9%
Experimental Result
9%
Lstm
9%
Chemical Engineering
Deep Learning Method
100%
Deep Neural Network
100%
Long Short-Term Memory
9%
Neural Network
9%