用于输送清洁能源的智能线缆控制方法及系统
By employing intelligent cable control methods, dynamic graph structure modeling, and self-attention mechanisms for load prediction, the problem of dynamic load adjustment in clean energy transmission using intelligent cables is solved, achieving efficient and reliable energy transmission.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN RED BANNER ELECTRICIAN CO LTD
- Filing Date
- 2025-02-19
- Publication Date
- 2026-07-17
AI Technical Summary
How to achieve dynamic load adjustment of smart cables in clean energy transmission to adapt to changes in the output characteristics of renewable energy and electricity demand, thereby improving transmission efficiency and safety.
By acquiring historical energy data of smart cable grid connection points, dynamic graph structure modeling is performed to generate spatiotemporal related datasets. Multidimensional dynamic spatiotemporal attention feature matrices are constructed using multi-order Chebyshev polynomials and self-attention mechanisms. Combined with multi-scale gated convolution to capture scale, load prediction and control command generation are performed.
It enables efficient and reliable dynamic load adjustment for clean energy transmission, improves forecast accuracy and system stability, and ensures the balance and security of energy transmission.
Smart Images
Figure CN119765476B_ABST