Electrical Grid Edge Event Detection and Mitigation

An electrical grid event detection system comprising:

• a sensor installed at an edge of the electrical grid, the sensor adapted to generate a sensor waveform at a first sampling rate corresponding to current and/or voltage signals;
• and
• one or more processors executing instructions and configured to:
• transform the sensor waveform into multiple frequency bands;
• digitize the multiple frequency bands at a second sampling rate that is lower than the first sampling rate;
• receive, by a pattern recognition machine learning (ML) algorithm at the edge, the digitized multiple frequency bands for events;
• and
• predict, using a pattern recognition machine learning (ML) algorithm at the edge, after receiving the digitized multiple frequency bands for events, an occurrence of one or more events.

A computer readable medium having instructions stored thereon that, when executed by one or more processors, cause the processors to detect one or more events on an electrical grid, the detecting comprising:

• using a sensor installed at an edge of the electrical grid, generating a sensor waveform at a first sampling rate corresponding to current and/or voltage signals;
• transforming the sensor waveform into multiple frequency bands;
• digitizing the multiple frequency bands at a second sampling rate that is lower than the first sampling rate;
• receiving, by a pattern recognition machine learning (ML) algorithm at the edge, the digitized multiple frequency bands for events;
• and
• predicting, using the ML algorithm, an occurrence of the one or more events.