Hybrid Deep Learning-Based Model for Wind Speed Forecasting Based on DWPT and Bidirectional LSTM Network

Keyphrases

• Wind Speed 100%
• Deep Learning Model 100%
• Discrete Wavelet Packet Transform 100%
• Wind Speed Forecasting 100%
• Feedback Loop 66%
• Colorado 33%
• Hybrid Method 33%
• Memory Capability 33%
• Canada 33%
• Optimal Management 33%
• Challenging Tasks 33%
• Power System Operation 33%
• Smart Grid 33%
• National Renewable Energy Laboratory 33%
• Hidden Layer 33%
• Reconstructed State Spaces 33%
• Weather Station 33%
• Optimal Operation 33%
• Wind Data 33%
• Learning Complexity 33%
• Wind Speed Time Series 33%
• Evolution Law 33%
• World Wind 33%
• Deep Temporal Features 33%
• Time-varying Relationship 33%
• Flatiron 33%
• Edmonton 33%
• Power Optimal 33%
• Forecasting Performance 33%
• Original Signal 33%

Computer Science

• Deep Learning Method 100%
• Bidirectional Long Short-Term Memory Network 100%
• wavelet packet transform 100%
• Case Study 33%
• Approximation (Algorithm) 33%
• State Space 33%
• Recent Literature 33%
• Learning Complexity 33%
• Deep Learning Model 33%
• Smart Grid 33%
• Weather Condition 33%
• Deep Temporal Features 33%
• United States of America 33%