Use case · Solar Fleet Performance & Loss Analysis

Recover the Energy Your Solar Fleet Is Losing

DOTA AI compares actual output to weather-adjusted expected energy across all sites, breaks down the losses, and ranks fixes by payback.

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

1,020 GWh
Weather-adjusted expected
968 GWh
Actual
$2.2M
Lost revenue
Built for

Renewable asset managers, O&M managers, IPP finance teams

The problem

Solar sites look available, but losses hide across different vendor portals, and monthly reports arrive too late to act.

With DOTA AI

DOTA AI compares actual output to weather-adjusted expected energy across all sites, breaks down the losses, and ranks fixes by payback.

How it works

From a question to a deployed app.

01

Ask

Compare actual vs. expected energy for all solar sites this year and break down the losses.

02

Connect

Site SCADA, irradiance data, inverter logs and PPA prices.

03

Compare

A waterfall from expected to actual separates controllable losses from curtailment.

04

Rank

Losses and fixes ranked by payback, so crews fix what pays back first.

What you see
  • 52 GWh short this year, about $2.2M in lost revenue
  • Inverter outages and soiling are the biggest controllable losses
  • Site 3 cleaning: $45K cost recovers about $190K
  • Fix what pays back first
Source systems
Site SCADAIrradiance dataInverter logsPPA prices

The takeaway

Recover every megawatt-hour.

Build recover the energy your solar fleet is losing on your data.

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