1 results match your criteria: "State Grid Sichuan Electric Power Company Electric Power Scientific Research Institute[Affiliation]"
BILSTM-SimAM: An improved algorithm for short-term electric load forecasting based on multi-feature.
Math Biosci Eng
January 2024
State Grid Sichuan Electric Power Company Electric Power Scientific Research Institute, Chengdu 644002, China.
Article Synopsis
- * A new BILSTM-SimAM network model has been developed that utilizes Variational Mode Decomposition (VMD) for noise reduction and feature extraction, in combination with a CNN to enhance model accuracy and training speed.
- * The BILSTM-SimAM model demonstrates impressive performance, achieving a prediction accuracy of 97.8%, outperforming other leading models like Transformer, MLP, and Prophet.