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Solutions

Grid intelligence for both sides of the meter

Large loads: load flexibility

Self-firming, priced at your node

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Grid reliability forecasts

How often grid emergencies would curtail a load, with timing, duration and depth.

Non-firm exposure studies

How often the market dispatches a site's non-firm capacity down, and what that costs, by hour and by node.

Coverage decisions

The evidence to size on-site generation or storage against that exposure, before capital is committed.
Planning versions come from Maestro and operational versions from Prescient.
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Asset schedulers and traders: price forecasts

Nodal price forecasts from a physical model of the market

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Operational forecasts

Pricing, congestion, emissions and system reliability conditions for today's system, one to seven days out, refreshed on a recurring schedule.

Planning forecasts

8,760-hour nodal price outlooks for the system as planned, for siting, contracting and budgeting.

Delivered by API

Forecasts feed your scheduling, bidding and risk systems directly.
Operational forecasts come from Prescient, and planning forecasts from Maestro.
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ISOs and utilities: transmission planning

Cost and reliability, modeled together at operational detail

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Hourly siting signals

A ranked, location-specific map of which lines are worth upgrading.

GETs valuation

The system value of grid-enhancing technologies.

Integrated multi-domain modeling

Every study runs on one shared platform.
QXT has demonstrated the method on the California Test System, a synthetic grid of about 8,870 buses. The results illustrate the method, not actual California investment needs.
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