AI for renewable energy operations.

AI forecasts solar output hours ahead, finds panel faults from drone imagery before they cut yield, and flags soiling and inverter problems as they start. Fewer surprises for the grid, more energy off the same array.

• Output-forecasting models built on your plant and weather data, so dispatch and curtailment are planned, not reacted to.
• Computer-vision inspection on drone thermal and RGB imagery to catch cracks, hot spots, and soiling early.
• Performance monitoring wired into your SCADA to flag inverter faults and degradation in real time.
• Any of it on your own hardware when site data must stay on your network.

AI predicts wind generation a day or more ahead, spots turbine faults in SCADA and vibration data months before failure, and steers turbines to capture more energy across a farm.

• Generation forecasts 24–36 hours ahead, fed straight into your market commitments.
• Predictive-maintenance pipelines on turbine SCADA and vibration data to catch gearbox and blade faults early.
• Computer-vision blade inspection from drone imagery.
• Wake-steering and dispatch optimization across the whole farm.

AI turns weather, snowpack, and streamflow data into accurate inflow forecasts days to months out, then optimizes reservoir releases — shifting operations from reactive to planned, and getting more value from each release.

• Inflow and streamflow forecasting models built from weather, snowmelt, and historical records.
• Reservoir release scheduling optimized for revenue, environmental flows, and flood risk.
• Hydro coordinated with variable wind and solar as a flexible balancer.
• Anomaly detection on turbine, gate, and spillway data.

AI helps read subsurface seismic data, choose where to drill, and tune injection and production — cutting the exploration risk and cost that have long held geothermal back.

• Machine-learning models that interpret seismic and subsurface data for siting.
• Drilling-condition prediction to reduce risk and cost.
• Reservoir digital twins that optimize injection and production rates.
• Subsurface and operational data kept on-premise where it is sensitive.

AI is the operating layer of a high-renewable grid: forecasting demand and generation, orchestrating batteries and distributed resources, and dispatching storage into markets in real time — keeping the system stable as variable supply grows.

• Demand and renewable-generation forecasting to cut reserves and curtailment.
• Battery dispatch and bidding agents that act in markets within your guardrails, with an audit trail.
• Distributed resources — batteries, EV chargers, flexible load — orchestrated as a virtual power plant.
• A grid digital twin, with sensitive operational data run on your own hardware.