Use case · Commercial Availability & Lost Margin

What Did That Outage Really Cost?

DOTA AI runs a dispatch simulation with heat rates, fuel and unit constraints, following your margin method, to price outages in dollars.

Explainer video in production

The interactive walkthrough for What Did That Outage Really Cost? is being produced. The full use case is below.

Illustrative data. No real utility names or plant names are used.

4,410 MWh
Lost on one storm day
$1.21M
Lost margin
82%
Commercial availability
Built for

Asset managers, trading and commercial teams, fleet leadership

The problem

A unit can post 95% availability and still be offline when prices spike. The real cost is not price times outage hours.

With DOTA AI

DOTA AI runs a dispatch simulation with heat rates, fuel and unit constraints, following your margin method, to price outages in dollars.

How it works

From a question to a deployed app.

01

Ask

What did this outage actually cost, hour by hour, in margin?

02

Connect

ISO market prices, fuel prices, GADS events and unit constraints flow into DOTA.

03

Simulate

Target vs. actual MW by hour, with the lost-margin gap shaded and priced against LMP.

04

Compare

Availability against commercial availability, for any unit and date range.

What you see
  • 95% available, but offline when it mattered
  • Simulated dispatch, not simple math
  • One storm day: 4,410 MWh and $1.21M in lost margin
  • Availability 95% vs. commercial availability 82%
Source systems
ISO market pricesFuel pricesGADS eventsUnit constraints

The takeaway

Measure performance in dollars, not just hours.

Build what did that outage really cost? on your data.

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