Geospatial Load Forecasting for Electric Utilities

Where load grows matters as much as how much load grows.

Traditional load forecasting tells you how much electricity demand is coming. Geospatial load forecasting tells you where — mapping projected demand growth to specific circuits, feeders, and substations so infrastructure investment goes where it is actually needed.

The planning challenge

The problem with top-down forecasting

NREL research documented the core issue: “Peanut-butter spread forecasts greatly reduce a planner’s ability to anticipate relative grid needs.” LoadSEER incorporates a licensed national building stock dataset covering every building in the U.S. — providing physical and modeled energy characteristics at the parcel level. This is the data foundation that makes parcel-level forecasting genuinely bottom-up.

GEOSPATIAL FORECASTING · LOADSEER Where Load Grows Matters as Much as How Much LoadSEER Atlas Viewer · H3 hex spatial adjustments · San Francisco Bay Area service territory Adjustments: Demo · 12,205 rows · Hexagon layer · PG&E / Sonoma-Napa territory Spatial Adjustments (kW) Low High LoadSEER’s national building stock dataset covers every U.S. building — enabling spatial forecasts no other tool can produce

LoadSEER Atlas Viewer — actual H3 hex spatial adjustment output, PG&E / Sonoma-Napa service territory

Capabilities

What LoadSEER delivers

National building stock dataset

Licensed dataset covering every U.S. building with physical and modeled energy characteristics — the primary differentiator separating genuine bottom-up spatial forecasting from top-down disaggregation.

About LoadSEER →

Circuit-level forecast resolution

Forecasts at individual circuit and substation level — planners see which specific feeders will be stressed and when.

Circuit-level forecasting →

Up to 100 economic drivers per circuit

Automatically evaluates and selects the best-fit economic drivers for each circuit’s load growth.

LoadSEER methodology →

H3 geospatial grid visualization

Load forecasts displayed as hexagonal H3 grid overlays on satellite imagery.

LoadSEER Studio →

20-year planning horizons

Consistent methodology from near-term through long-range planning.

Multi-scenario analysis →

Integrated EV and DER modeling

EV adoption, rooftop solar, storage, and demand response modeled in the same spatial framework as traditional load growth.

EV & DER forecasting →

See geospatial load forecasting for your service territory

Schedule a demo and walk through a scenario for your service territory.

Request a demo