Neuromorphic Systems for Power Grid Monitoring

The project harnesses neuromorphic computing through spiking neural networks (SNNs) to enhance power grid security against disruptions. It involves using real-time digital simulation tools (such as RTDS or OPAL-RT) for analyzing power behavior in real time. This generates grid simulation data, which is then converted into neuromorphic-compatible formats through encoding. The goal is to utilize neuromorphic SNNs to identify correlations, detect anomalies, and respond to disruptions. This will result in a resilient and adaptive system capable of detecting and responding to grid anomalies with reduced power consumption, ensuring robust grid operation.