Native input types
GridForesight Platform treats measurements, electrical network models, GIS relationships, structured assumptions, internal reports, third-party documents, and unstructured textual evidence as native platform inputs.
GIS-native foundation
GIS links weather stations, buildings, customers, feeders, transformers, substations, service areas, Points of Delivery (PoDs), planning regions, load zones, generators, and price nodes. Spatial context becomes part of the model foundation.
Reports and evidence
GridForesight Platform combines datasets and time series with evidence scattered across spreadsheets, emails, operator notes, utility records, filings, and third-party studies. AI-assisted workflows normalize events, values, dates, locations, relationships, and assumptions into reviewable inputs, with analyst approval and source-level lineage preserved before model use.
Harmonized assumptions
Weather, climate, GDP, population, land use, technology adoption, DER, large-load, outage, derate, offer, and supply-fleet assumptions are organized into scenario-ready input sets before they feed any simulator.
Traceability
Dataset versions, GIS mappings, assumption choices, textual evidence, model configuration, analyst approvals, and scenario definitions remain visible as outputs move downstream.
