Use case · Planned Outage Window Optimization

Schedule the Outage When Power Is Cheapest

DOTA AI prices every possible window with forward prices and fleet outage plans, flags conflicts, and picks the best feasible window.

Captions are burned in. Illustrative data. No real utility names or plant names are used.

70
Windows evaluated
$1.4M
Best feasible lost margin
$800K
Saved vs. current plan
Built for

Outage managers, fleet planners, trading and commercial teams

The problem

Major outage windows are set by habit and crew calendars, not by the market value of the generation lost.

With DOTA AI

DOTA AI prices every possible window with forward prices and fleet outage plans, flags conflicts, and picks the best feasible window.

How it works

From a question to a deployed app.

01

Ask

Compare every 21-day window for Unit 4's major inspection, March to May 2027.

02

Connect

Forward price curves, the fleet outage schedule, unit constraints and load forecast.

03

Price

Every window is priced in lost margin; conflicts with other outages are flagged.

04

Decide

The best feasible window, with trading and planners on the same numbers.

What you see
  • Planned by calendar, not by cost
  • The cheapest window collides with Unit 2's outage, so DOTA flags it
  • Best feasible window starts Mar 23, about $800K in margin kept
  • Rerun whenever forward prices move
Source systems
Forward price curvesFleet outage scheduleUnit constraintsLoad forecast

The takeaway

Plan outages around the market.

Build schedule the outage when power is cheapest on your data.

See DOTA AI build a real utility app on your data in a 30-minute working session.