A New Compressed Data Acquisition Method for Power System Based on Chaotic Compressive Measurement
Shan Yang, Zhirong Gao, Jingbo Guo · 2024
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Description
Shan Yang, Zhirong Gao, and Jingbo Guo compress power grid data with a chaos-built sensing matrix in a 2024 paper. Grids under carbon goals generate more data than channels can carry. Compressed sensing promises faithful recovery from few samples, if the measurement matrix behaves.
A chaotic map supplies the matrix entries, tuned against the method's basic demands. The scheme targets the sparse differences in grid data, rebuilding full records from small compressed batches. Settings were tuned and the pipeline was validated in a case study, where recovery proved correct and effective. The authors present the method as a practical answer to the volume-versus-capacity squeeze in modern power systems.
Catalog record
| CREATOR | Shan Yang, Zhirong Gao, Jingbo Guo |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 48 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |