Long short-term memory-singular spectrum analysis-based model for electric load forecasting

Keyphrases

• Prediction Accuracy 100%
• Least Squares Support Vector Regression (LSSVR) 100%
• Singular Spectrum Analysis 100%
• Long Short-term Memory 100%
• Deep Belief Network 100%
• Electric Load Forecasting 100%
• Model Use 50%
• Artificial Neural Network 50%
• State-of-the-art Techniques 50%
• Efficient System 50%
• Signal Processing Techniques 50%
• System Planning 50%
• Existing State 50%
• Dynamic Mode Decomposition 50%
• Publicly Available Dataset 50%
• Regression Forest 50%
• Error Metrics 50%
• LSTM Model 50%
• Empirical Mode Decomposition 50%
• Network Mode 50%
• Autoregressive Exogenous Model 50%
• Day-ahead Load Forecasting 50%
• Artificial Neural Network Ensemble 50%
• Australian Energy Market Operator 50%
• Load Time Series 50%
• Sustainable Energy Systems 50%
• Electrical Load Forecasting 50%
• Belief Dynamics 50%
• Skewed-load Tests 50%

Engineering

• Artificial Neural Network 100%
• Long Short-Term Memory 100%
• Singular Spectrum 100%
• Load Forecasting 100%
• Model-Based Analysis 100%
• Electric Load Forecasting 100%
• Deep Belief Network 100%
• Mode Dynamic 50%
• Metrics 50%
• Observed Data 50%
• Power Engineering 50%
• Energy Market 50%
• State-of-the-Art Method 50%
• Electrical Load 50%
• Signal Processing 50%
• Sustainable Building 50%
• Random Forest 50%
• Empirical-Mode Decomposition 50%
• Series Load 50%
• Market Operator 50%

Computer Science

• Long Short-Term Memory Network 100%
• Artificial Neural Network 100%
• Support Vector Regression 100%
• Singular Spectrum 100%
• forecasting accuracy 100%
• Random Decision Forest 50%
• Systems Planning 50%
• Long Short-Term Memory Networks 50%
• Signal Processing 50%
• Electrical Load 50%
• empirical mode decomposition 50%