Updated 2025-12-17

FerroAI

What is FerroAI?

FerroAI optimizes the use of your Ferroamp system.  By analyzing consumption patterns, production data, weather conditions, electricity prices and electricity grid tariffs FerroAI makes daily, data-driven decisions to maximize the economic benefit of the system.

Activate FerroAI

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Activation of FerroAI 

  1. Download or update the Ferroamp user app on your mobile phone.
  2. Select “Account” (house) and check that the correct address for the facility is selected.
  3. Select Electrical settings and select “Bidding Zone”(Electric Grid Area). State which bidding zone the facility is located in.
  4. Select “Type of tariff”. Specify whether you pay power charges/tariffs to your grid company. Select “Reduced power charge at night” if you have lower or no tariffs during the night. More specific choices will be possible to make in later updates.
  5. Select the “Advanced Settings” tab in the bottom icon menu.
  6. Select FerroAI.

NOTE:
If other external control is enabled and fully or partially controls the system, FerroAI will not be able to function properly.

 

Deactivation

You turn off FerroAI by switching modes under “Control” in the app. If you then return to manual control, the latest settings in Energycloud will be reactivated.

 

What do the graphs mean in FerroAI?

If you want to know what FerroAI is doing, you can follow it on the app. See how to read the graphs in the video below.

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How does FerroAI control the Ferroamp system?

FerroAI combines data on spot prices, electricityconsumption area, tariffs, weather and solar radiation with your electricity usage history from EnergyHub to minimize electricity costs.

Every evening, just before midnight,an analysis is made for the next 24 hours.

 The calculation is based on:

  • Energy consumption forecasts based on your historical usage data and time of year
  • Expected solar production based on weather forecasts and historical weatherdata
  • Electricity network costs based on power consumption, taxes and transmission fees
  • Spot price data from the electricity market

The goal is for the battery to be used in the way that provides the greatest economic benefit.

Charging the Battery

  1. Solar power
    FerroAI primarily charges the battery with the surplus from solar production. If there is sunshine during the day, the  battery can refrain from charging from the grid, even if electricity is cheap. In case of high sunshine, the battery will prioritise charging during the hours when the spot price is lowest, so that you get paid as much as possible for the exports.

  2. If solar production is not expected to meet the demand, the battery will be charged from the grid when the electricity price is low. If you pay power tariffs, FerroAI spreads the charge over several cheap hours, rather than maximising the charge when it is cheapest, to avoid creating power peaks.
      
  3. Charging from the grid only takes place if FerroAI expects that there will be an economic benefit to it.

 

Battery Discharge

To create economic benefit, FerroAI prioritizes discharges in the following order:

  1. Cutting power peaks (if you pay power tariffs)
    FerroAI reserves battery capacity to cut expected power peaks based on historical electricity changes and seasonal variations.

  2. Maximising self-use of solar electricity
    It is more profitable to use self-produced electricity than to sell it. In addition to the electricity price itself, you avoid transmission fees, electricity tax and VAT.
       
  3. If there is more capacity in the battery than is required to cut power peaks, the battery will prioritize discharge when electricity is most expensive.
      
  4. Selling to the electricity grid
    Discharge for sale only takes place if the price difference between purchase and sale is deemed to exceed the transmission fee, electricity tax, VAT and energy losses. Otherwise, the energy is saved for later use in the property.

 

Examples of steering in practice

Here are four typical scenarios for how FerroAI acts during a day:

Example 1: – Power peaks but no solar surplus expected

FerroAI charges the battery during the cheap hours of the night, setting the battery to cut power peaks. The energy left in the battery is used to reduce grid imports during the expensive hours in the evening.

Example 2: – Power peaks and solar surplus expected

The battery is set to cut expected power peaks but also discharges to make room for expected overproduction of solar electricity. The energy that is left is discharged from the fund in the evening to reduce grid imports and maximize the self-use of solar electricity.

Example 3 – No power peaks and no solar surplus expected

FerroAI recharges the battery during the cheap hours of the night. The energy is used for self-consumption during the expensive hours of the morning and evening.

Example 4 – No power peaks but solar surplus expected

Discharges the battery for self-consumption in the morning to make room for the expected surplus of solar power production. Discharges to reduce grid imports during expensive hours.

Forecasts

FerroAI’s consumption forecasts are tailored to each site. The model is trained on historical data and identifies patterns of behavior such as:

  • Time-bound variations (day, week, month)
  • Daily average consumption
  • Recurring power peaks
  • The system also calculates the level to which power peaks can be limited each month with adjustments over the year.

On which systems does FerroAI work?

To get all the benefits of FerroAI, you need an EnergyHub and a battery. From January 2026, FerroAI can also be used with some functionality in systems without batteries.

  • FerroAI also works in systems with multiple batteries.
  • FerroAI also works with systems that do not have SSOs and where the solar cells are connected to an inverter other than EnergyHub. FerroAI cannot then read or report your solar production, but the system registers the excess production that is exported and includes it in the calculations for the coming days.
  • FerroAI does not work in PowerShare (Multisystem)

When can FerroAI be activated?

If you already have a system, FerroAI will be able to activate and controlthe system within a few hours. If you have a brand new system, you may have to wait up to a week before FerroAI has enoughdata to do its calculations.

What happens if FerroAI shuts down?

If FerroAI is turned off, the last active setting is automatically activated, ensuring continuous operation even without active AI control.

How does FerroAI work with EV charging?

FerroAI does not currently take into account governance via OCPP. If you have a power tariff and want to avoid EV charging causing unwanted power peaks, you can limit the power output and schedule charging in the car.

Chargers that are not integrated via OCPP cannot be controlled by FerroAI, but if charging is done on a regular basis, it is taken into account just like other loads in the property.

Can FerroAI interact with external systems?

In order for FerroAI to work optimally, it is recommended that no external systems are used for control. However, systems such as Homey and Home assistant can continue to be used for data collection and visualization without FerroAI being affected.

When it comes to external control for selling ancillary services, it is up to the ancillary service provider what requirements are placed on the system in connection with it being connected to ancillary services. At present, it is not possible to combine ancillary services from Varberg Energi with FerroAI. If you turn on FerroAI, your system risks not being available for their ancillary services.

What is the cost of FerroAI?

Initially, FerroAI is free and later developed into a subscription service with monthly fees.

Can I set my own variables when FerroAI is enabled?

It is not possible to control individual variables when FerroAI is enabled. FerroAI optimizes the whole automatically and charges the battery based on what provides the best overall economy.

Can FerroAI's requests go wrong?

Yes, FerroAI is based on forecasts that can be affected by weather, solar radiation conditions and major changes in electricalrespiration patterns.

If the forecasts are wrong, the calculations  will also  be wrong.

Example:
The surplus of solar electricity is lower than calculated. This means that the battery is not charged in accordance with the forecast in the app and therefore does not have enough energy to cover the needs.

Possible explanations:
– an incorrect weather forecast

– the sunlight is limited by shadows, foliage or snow on the panels

– Higher consumption than forecast resulted in a lower surplus of solar electricity than calculated.

In the event of longer deviations, such as snow on the panels or changes in consumption, FerroAI adapts its requests within a few days. New systems or changes in electricity consumption also mean a learning period before the optimization is completely accurate.

Errors can also occur due to bugs or conditions that aren’t included in the calculation models. Ferroamp is continuously working to improve FerroAI and minimize these.

Although temporary deviations may occur, the most important thing is to look at the long-term benefit. The system is designed to provide the best results over time so that the total cost of electricity each month is reduced.

Frequently Asked Questions about FerroAI

Why was the battery not charged at all during the night?

It may be because the differences in spot prices during the day are so small and that FerroAI does not expect that it will be worthwhile to charge the battery during the night in terms of fees, costs and energy losses.

 

Why did the battery charge so slowly during the night and not all the way up to 100%?

This may be because there is not a need for as much battery capacity for the discharges that are planned during the day.

In other cases, it may be because other loads such as the heat pump or electric car charging were running at the same time as the charging. In that case , there may not have been enough space below the calculated power limit or below the level of the main fuse to charge the battery at the planned power. If the pattern is repeated, FerroAI will adapt the charging to the new conditions after a couple of days.

Why did FerroAI not sell electricity to the grid during the price peak?

It may be because FerroAI expects that energy from the battery is needed for future power peaks or to use within the property even after the price peak, when taxes and fees on purchased electricity are estimated to exceed the price difference.

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