What is the main advantage of the proposed LSTM RNN-based model over current sensors in detecting FDIA?

The main advantage is that the proposed LSTM RNN-based model maintains high accuracy in detecting FDIA across a variety of contexts, whereas current sensors experience a considerable decline in accuracy. It also withstands the stresses of modern electricity grids with ease.

According to the simulation findings, existing detection techniques that use current sensors show a significant loss of accuracy when compared to the proposed LSTM RNN-based model. The model excels at identifying FDIA in a variety of operating contexts and is robust enough to handle the demands of today's electricity grids. This contrasts with the declining performance of current sensors, making the proposed model more reliable for false data injection attack detection.