Use case · Equivalent Availability Factor Forecasting

Forecast EAF Your Way

Write your method once as Knowledge. DOTA AI produces a deterministic, full-year EAF forecast against target: the same answer every run.

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

87.6%
Projected EAF
88.0%
Target
86.3%
With a +5 day fall outage
Built for

Generation performance engineers, outage planners, fleet leadership

The problem

Year-end availability targets don't wait. But the EAF forecast often lives in one analyst's spreadsheet, rebuilt by hand every month, and general AI chat gives a different answer each time.

With DOTA AI

Write your method once as Knowledge. DOTA AI produces a deterministic, full-year EAF forecast against target: the same answer every run.

How it works

From a question to a deployed app.

01

Knowledge

You write the method once: actuals for completed months, your outage plan and forced-outage rate for the rest.

02

Forecast

Monthly bars show actuals and forecast; a gauge lands the full-year projection against target.

03

Scenario

Change the outage plan and the projection re-runs, from 87.6% to 86.3%.

04

Trust

Run it again tomorrow and get the same answer. It is deterministic software, not a chatbot.

What you see
  • Actuals through August, forecast through December
  • Deterministic: same inputs, same answer, every run
  • Extend the fall outage 5 days and the projection moves to 86.3%
  • Your method, in plain English, as Knowledge
Source systems
GADSOutage scheduleUnit ratings

The takeaway

Your method, every run.

Build forecast eaf your way on your data.

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