Electric Utility Load Forecasting Software

LoadSEER: built for how distribution grids actually work.

Most load forecasting tools were designed for resource adequacy — total megawatts at the system level. Distribution planners need something fundamentally different: forecasts that show where load will grow, not just how much, broken out by load class, at circuit and substation resolution.

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The planning challenge

The limitations of general-purpose forecasting tools

General-purpose load forecasting software — built for resource adequacy planning — produces system-level forecasts that give distribution planners none of what they need: circuit-level visibility into where load growth will concentrate, which feeders will be stressed first, and what the combined impact of EVs, distributed solar, and traditional load growth will be at each location. LoadSEER was designed for distribution planning from the ground up.

UTILITY LOAD FORECASTING · LOADSEER Bottom-Up vs. Top-Down Forecasting Why parcel-level aggregation produces more accurate circuit forecasts TOP-DOWN APPROACH System total → disaggregated by geography System Total Forecast e.g. +12% over 10 years ÷ by area or customer count Circuit A +12% Circuit B +12% Circuit C +12% ⚠ Every circuit gets same growth rate ignoring local land use, building type, demographics, and development pipeline Result: wrong circuits get upgraded while real hotspots go undetected → LoadSEER LOADSEER BOTTOM-UP Parcel → feeder → substation → system Every U.S. parcel modeled individually Circuit A +4% ↑ low Circuit B +38% ⚡ hotspot Circuit C +18% ↑ moderate System total: +12% ✓ (same overall) Result: right circuits get upgraded Circuit B gets investment · Circuit A deferred

Bottom-up parcel aggregation vs. top-down disaggregation — why the methodology matters for circuit planning

Capabilities

What LoadSEER delivers

Bottom-up spatial methodology

Builds forecasts from parcel-level economic and demographic data — not from system-level totals allocated to circuits using historical ratios.

Geospatial methodology →

National building stock dataset

Every U.S. building with physical and modeled energy characteristics — the data foundation no general-purpose tool provides.

National building stock →

Integrated EV and DER modeling

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

EV & DER forecasting →

Circuit-level resolution

Feeder and substation level outputs — the geographic resolution distribution planners use to make infrastructure investment decisions.

Circuit-level forecasting →

Regulatory acceptance

Methodology accepted in IDP filings in CA, NY, HI, and other active jurisdictions without methodological dispute.

IDP regulatory support →

Proven at 25+ utilities

PG&E, Xcel Energy, Hawaiian Electric, SRP, SMUD, Seattle City Light, NV Energy, and others.

See our clients →
Related solutions

More from LoadSEER

Product

LoadSEER

Full LoadSEER capabilities and deployment options.
Use case

Geospatial load forecasting

The bottom-up spatial methodology at the core of LoadSEER.
Use case

IDP support

How LoadSEER supports IDP regulatory filings.
Product

LoadSEER Studio

AI-assisted spatial forecasting for faster deployment.

See LoadSEER for your distribution planning needs

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

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