S. Dalai

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.