Forecasts demand over the planning horizon top-down from system-wide drivers and bottom-up from measured feeders, transformers and substations, then traces every gap between the two to its cause.
Models wind and solar output as a fleet, including behind-the-fence PV, as hourly probabilistic profiles per site, region and fleet.
Models the thermal, hydro and storage fleet over the planning horizon: additions, retirements, outages, derates and energy limits.
Turns regional EV, solar PV and heating electrification outlooks into feeder-level impact profiles, without double counting what historical load already contains.
Models data centers as probabilistic projects: whether they materialize, when they energize, how they ramp and how they operate, from seconds to 8760 hours.
Models industrial projects, new communities and major developments as discrete additions to specific feeders and substations, each with its own likelihood, timing and staging.
Measures whether supply can meet demand across plausible futures, reported as LOLE, EUE, reserve margin and locational adequacy.
Assigns every feeder, transformer and substation a well-being state and ranks reinforcement needs by risk and the year they become necessary.
Quantifies net load, reverse power flow, voltage rise, thermal loading and remaining hosting capacity on the feeders DERs connect to.
