As distributed energy reshapes the grid, forecasting gets harder and matters more. We build the load, generation, and weather-driven models that help grid and asset operators anticipate what the network will do next — and plan around it.
Draft Illustrative capability set — being reviewed with our content lead before launch.
Health indexing and failure-probability modeling down to the transformer, breaker, and switch — with each asset’s upstream/downstream impact and liability exposure — so maintenance dollars go where they cut the most risk.
Physical and financial modeling of generation assets against market data — spark spreads, congestion exposure, storage value — so plant managers and portfolio heads optimize dispatch on both intrinsic and extrinsic value.
OMS, AMI, and SCADA integrated into a grid-wide view that detects outages at the premise level, quantifies affected customers in real time, and predicts the next event from weather and historic outage data.
Load, generation, and weather-driven forecasting for a grid reshaped by distributed energy — anticipating how transportation electrification, time-of-use adoption, and renewables change the shape of demand.
Live Power BI dashboards on synthetic data — click any to load it in place.
DER Penetration & Prediction
Impact of EV, energy-efficiency, and economic trends on consumption — synthetic data.
Wind Asset Performance & Weather
Correlate wind-asset output with detailed weather to find most- and least-profitable scenarios — synthetic data.
Solar Asset Performance & Weather
Correlate solar-asset output with detailed weather to find most- and least-profitable scenarios — synthetic data.
An 18–25% swing between load forecast and actuals meant costly real-time market exposure. The strategic target was under 4%. We delivered forecasting that brought average variance to 2.75%.
Analysts were spending their time manipulating spreadsheets to model complex wind tax-equity deals instead of analyzing them. We built a rules-based engine that captures the deal terms and does the modeling — so the team could get back to decisions.