SURROGATE MODEL FOR DISTRIBUTION NETWORKS INFLUENCED BY WEATHER

Keyphrases

• Surrogate Model 100%
• Distribution Network 100%
• Degrees of Freedom 66%
• Reduced Representation 66%
• Computational Cost 33%
• Deconvolution 33%
• Power Network 33%
• Training Data 33%
• Power Distribution 33%
• Spectral Method 33%
• Fourier Polynomial 33%
• Time-dependent Simulation 33%
• Numerical Stability 33%
• Seasonal Cycle 33%
• Voltage Distribution 33%
• Climate Time Series 33%
• Energetic Characteristics 33%
• Weather Events 33%
• Time Representation 33%
• Diurnal Cycle 33%
• Network Dynamics 33%

Engineering

• Surrogate Model 100%
• Distribution Network 100%
• Degree of Freedom 66%
• Computational Cost 33%
• Energetics 33%
• Seasonal Cycle 33%
• Deconvolution 33%

Earth and Planetary Sciences

• Time Series 100%
• Degree of Freedom 100%
• Deconvolution 50%
• Spectral Method 50%