Adaptive modeling, topology-aware features, and disciplined validation—so your zonal & nodal decisions reflect how markets actually move.
When regimes shift, models re-weight and recalibrate light layers—no brittle, full retrains.
Spatial signals respect constraints and flows, not just distance—corridor features reduce spurious correlation.
We deliver intervals, backtests, and scenario stress so bids, hedges, and ops reflect uncertainty.
We deliver price and load forecasts trained on hundreds of inputs, then keep them stable with regime gating and online calibration. Features are topology-aware (congestion corridors, nodal context) rather than naive geography. Outputs include intervals and explainers so decisions match risk.
See practical impact in Use Cases.
The platform already ingests hundreds of exogenous signals (ISO streams, weather, outages, fuel spreads, policy calendars). We map your zones & nodes during onboarding and start forecasting. You can optionally connect additional feeds later—kept isolated to your project.
Want to see your nodes? Request a demo.
Adjust scenario knobs (e.g., renewable output bias, outage likelihood, fuel spreads, demand multipliers, constraint toggles). We show the effect on inputs and predictions in real time, with provenance tracked so it’s easy to revert.
Changes are non-destructive—great for what-if analysis and collaboration. Explore examples in Use Cases.
Slide the confidence level (e.g., 50/80/95) to widen or tighten forecast bands. We also expose variance, rate of change, and probability-of-exceedance metrics so you see the distribution—not just a point.
These views apply to both price and load forecasts.
Drop proposed generation, storage, or load onto the map, set capacity/parameters, and the model adapts local forecasts by adjusting topology-aware features and constraint stress. See before/after prices, spreads, and volatility.
It’s a fast way to test siting, sizing, and timing.
Latency-correct out-of-sample testing (simulate data arrival), leakage guardrails, and regime-segmented diagnostics. Baselines are frozen and reproducible; backtests are exportable.
See how this translates to operations in Use Cases or Contact us for a focused pilot.
Topology-aware spatial features, engineered lags, event tags, and demand-elasticity signals. Distance ≠ influence.
Ensembles with gating and online calibration for point + interval forecasts, designed for live adaptation.
Leakage checks, latency simulation, rolling windows, and regime-segmented diagnostics. Guardrails keep us honest.
REST API, signed exports, and scheduled pushes (S3/Blob/SFTP). We fit into your workflow quickly.
Talk to us to scope a pilot on your nodes.
Least-privilege access, encryption in transit/at rest, and audit logs. Isolation per customer.
See Security for current controls.
We’ll set up a focused pilot—your ISOs, your nodes, your constraints.
Request a demo
Full Load Forecasting