Load forecasts, asset replacement plans, and outage response all face regulatory review, and the record of how a number was produced carries weight years later. Distributed resources and interconnection volume keep changing the conditions those plans assume.
Rooftop solar, storage, and vehicle charging turned load into net load, and feeder behavior no longer follows the historical profile. Planning, procurement, and switching decisions now rest on forecasts built from AMI intervals, weather, and market data rather than last year's curve.
A forecast that informs a rate filing or a replacement plan has to show its inputs, its version, and its assumptions long after the decision. We build lineage, versioning, and review records in while they are cheap, rather than reconstructing them under a discovery request.
Transformer loading histories, SCADA event logs, inspection and outage records, and AMI intervals support condition scoring, anomaly detection, and outage prediction. Connecting those records to work management moves maintenance from the calendar to the condition, which changes what a crew gets dispatched to do.
Decide where to invest, what to prioritize, what should happen first, and what evidence should change the plan.
Explore service ↗02Make data quality, ownership, lineage, and availability explicit before decisions or operating systems depend on them.
Explore service ↗03Use AI where it earns its place, from commodity capabilities and orchestration to proprietary engineering where organization-specific value justifies it.
Explore service ↗Find out where you stand and what you can do about it.