Predictive Tools

Our AI learns a network's ‘day-to-day’ operations (particularly sub-grids and key high-demand customers), including operation under different environmental conditions. It integrates this with weather inputs (sensors, satellite feeds (where available), forecasts, etc., to make network failure determinations and, when needed, assists in rerouting network resources. Common congestion areas can be addressed via localized storage banks.

Some versions of our system also include algorithmic trading software to enable participation in key energy trading markets including:

  • PJM (Eastern, USA)
  • ERCOT (Texas, USA)
  • CAISO (California, USA)
  • AEMO (Australia)
  • UK ESO (Europe)
  • IESO (Ontario, Canada)
  • Primärregeleistung (Germany)