PREDAIOT
Virtual power plant fleet
Virtual Power Plants

You aggregate flexibility. Are you dispatching it at the best price?

A virtual power plant is only as good as the decision of which asset to dispatch, into which market, at which hour. Run on program rules, a VPP captures a fraction of the value stacked across its fleet.

One economic decision engine, applied across the entire energy value chain — from oil & gas and power generation to renewables, storage, grids and hydrogen.

Fleet as one

A thousand small assets dispatched as one plant — if the timing engine exists.

Co-timing is the value

Aggregation value comes from co-timing, not from just connecting.

Proof = decision log

Markets pay fleets that can prove response. Proof is a decision log.

Every node counts

Un-priced nodes drag the whole portfolio's revenue.

Where value leaks

Three decision-gap patterns in virtual power plants

Aggregate dispatch on program rules

Calling the whole fleet on a single program signal ignores which specific assets are cheapest to move that hour.

Asset-level opportunity cost ignored

Each asset in the fleet has its own opportunity cost. Dispatching without pricing it per asset over-uses some and under-uses others.

Market-versus-ancillary allocation misjudged

The same flexibility can serve energy or ancillary markets. Choosing wrong for the hour caps the value the fleet could have stacked.

How PREDAIOT applies

The same engine. Your sector.

Every decision is a transparent, auditable calculation against published market prices. No black box. No fabricated results.

01

Ingest

Existing asset telemetry via SCADA/EMS or a file upload — no hardware to replace.

02

Align

Against published market signals — marginal price, scarcity, demand.

03

Replay

Every decision is replayed against what the economically optimal one would have been that hour.

04

Quantify

The economic decision gap in your currency — cited to official sources, independently verifiable.

The levers we pull

The economic decisions specific to virtual power plants

Value-stacked dispatch

Sequence each asset into the market that pays most that hour.

Asset-level opportunity cost

Price each unit's cost of moving before it's called.

Market-vs-ancillary allocation

Route flexibility to energy or ancillary on hourly value.

Forecast-driven bidding

Pre-position fleet capacity ahead of forecast price windows.

What you get

A Decision Gap report — for your asset

01

Baseline — what your asset actually earned against real market prices, hour by hour.

02

Shadow run — the same decisions replayed with price-first logic.

03

Decision gap — the difference in OMR, broken down by leak type.

04

Top 20 actions ranked by OMR — date, hour, action taken vs. recommended.

05

Recovery roadmap — what captures each leak, with no software lock-in implied.

Before you start

Frequently asked

We run a DR/aggregation program already. What's new?

Programs decide when to call the fleet. We decide which assets, into which market, at what opportunity cost — the layer that turns aggregation into stacked value.

Do you need per-asset data?

Per-asset dispatch history sharpens it, but we can start from fleet-level logs and refine as more granularity arrives.

How much is your virtual power plants leaving on the table?

Aggregation without economic timing is just a bigger meter.

Free 7-day diagnostic with a written guarantee — if we find no recoverable value, you pay nothing.