Director of Generation
Fleet performance review
What You Do Today
Review overnight generation reports across all plants — capacity factors, forced outage rates, heat rates, and emissions. Prioritize any unit that tripped or derated overnight for root-cause investigation.
AI That Applies
AI aggregates SCADA, historian, and CMMS data across the fleet into a single dashboard, flagging anomalies against rolling 90-day baselines and ranking units by economic dispatch impact.
Technologies
How It Works
For fleet performance review, the system draws on the relevant operational data and applies the appropriate analytical models. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
Manual morning report compilation from multiple plant control rooms becomes an auto-generated fleet scorecard with anomaly flags.
What Stays
Deciding whether to curtail a unit, call in maintenance crews, or accept reduced output based on market conditions and reliability obligations.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for fleet performance review, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long fleet performance review takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your VP Operations or COO
“What data do we already have that could improve how we handle fleet performance review?”
They're prioritizing which operational processes to automate
your process improvement or lean lead
“Who on our team has the deepest experience with fleet performance review, and what tools are they already using?”
They understand the workflow dependencies that AI tools need to respect
a frontline supervisor
“If we brought in AI tools for fleet performance review, what would we measure before and after to know it actually helped?”
They see the daily reality that AI tools need to fit into
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.