When does the engine pay off?
Prices vary strongly within a day.
Concern 3 · operation
When should the CHP run?
The electricity price outlook as a heat map: at a glance you see which quarter hours of the coming days are expensive and which cheap, and plan operation against them.
Sound familiar?
Three questions about operation.
How far ahead can I plan?
An outlook over several days changes the planning of the storage.
What does flexible operation really bring?
A figure for your plant shows whether the changeover pays off.
How the learning system answers
Price, schedule and a figure for your plant.
The outlook can be switched: one day back up to three, seven or fourteen days ahead, in quarter hours or averaged to hours.
Which times in the coming days are best for the engine?
In the evening hours of the next three days the prices are highest. The storage should be filled beforehand.
Source: price forecast, plant schedule
Example with invented data
Questions you can ask
- When are the next price peaks?
- How did the plant run in recent weeks compared to the price?
- What does more flexibility bring me?
- When is the storage full?
Every number comes from a fixed calculation, not from the language model. Every answer names its source.
When the engine pays off
Prices vary strongly within a day. The outlook shows quarter hours.
What it looks like
The price outlook as a heat map.
Every cell is a quarter hour. Dark means expensive. The numbers are in the tooltip, not in the cell.
Schedule by electricity price00:00
Price now–
Gas storage–
Revenue lead–
Example with invented values
Schedule against the price
You decide. The system calculates and explains, it does not control.
How it works
From the price forecast to the schedule.
01
Read the forecast
The fresh price forecast in 15-minute steps, auction prices take precedence.
02
Compare the schedule
Your schedule is displayed next to the price, including the direct marketer's.
03
Decide
You decide. The system calculates and explains, it does not control.
Learning system and Pseudomizer
Two building blocks, one goal: answers without handing out originals.
The learning system (RAG)
A system of your own with its own storage. It reads your documents and measurement data, answers in plain sentences and names the source. At night it asks itself new questions and reports gaps.
More on the local AIThe Pseudomizer
If you also want to use a large cloud AI, the Pseudomizer creates a shadow copy and checks it with subject-specific check chains. The original stays with you. Leak rate at the exit: 0.00 %. Guards detect, the judge stage blocks when in doubt, healing cleans up.
To the PseudomizerMore concerns
What operators also want to know.
Who uses how much electricity?
The plant's own consumption split across consumers, even when not everything is measured.
To the pageWhat to feed, and when?
Feeding recommendation next to the electricity prices: substrates, amounts and times.
To the pageMay this go to the cloud?
Original versus mirror: use cloud AI without originals leaving the house.
To the pageWhere does the heat go?
Heat network at a glance: flow, return, output, storage. One click opens the chart.
To the pageBring us your biggest annoyance.
One conversation, one real task from your daily work. We use it to show what AI and automation can do for you.