Open access
Aug 2026
Mamba-driven linear-time sequence learning architecture for efficient power quality disturbance classification
A deep learning framework based on a Mamba-driven state-space model architecture for comprehensive PQ disturbance classification is proposed and results indicate that the proposed method is well-suited for real-time smart grid monitoring and intelligent protection systems.
Pintu Das, Chandan Jana, Sannistha Banarjee et al.
· Engineering Research Express · 0 citations