Powerful alone.
Better together.

Leaftech services are potent on their own,
They deliver even more potential when combined.

Powerful alone, stronger together

Shading automation

SERVICE LAUNCHED Wago our partner in Shading Automation
Every window is unique

Every window is unique

Light intake differ from one window to another due to surrounding structures, architecture, local weather conditions, and solar position.

Hardware sensors only approximate the shading pattern on a building.
Leaftech's virtual sensors capture the acutal pattern.

Match the real shading conditions with virtual sensors

In order to monitor every window in your building, Leaftech sets up a digital twin of the building and assembles all influence factors.
On each modelled window we generate a grid of virtual sensors and link them to current and future weather conditions.

Looking to upgrade your sensor solutions?

Request more information about our data services

Single room forecast

PILOT DEPLOYED Fujitsu our partner in Single room energy forecast
Making room for anticipation

Making room for anticipation

Embedding all influence factors including local infrastructure, weather patterns and user schedules we create a thermal model of the room and constantly forecast its energy balance.

Based on the energy balance the heating cooling and ventilation demand for the next hours is quantified and forwarded to the building system via API. The data service enables your building systems to make better decisions and to anticipate future operation conditions.

Get the most of it

Enabling our algorithms to learn from the indoor conditions leads to even better results. Sharing room temperature, humidity and other parameters empowers the digital twin to learn about room conditions and to increase the forecast precision.

Combine with Shading automation as one service

Forecasting the intake of solar radiation is one of the most important factors when applying model-based control as it has a tremendous influence on the heating, cooling and illuminance demands inside the buildings.

Using shading as a service and combining it with Single room energy forecast you get the best control for all systems and make the most of the forecast data.

Learn more about our single room forecast technology

Request our case study

Building energy forecast

PILOT DEPLOYED Vattenfall our partner in Building energy forecast
Building energy forecast

The more buildings in a system are twinned, the higher the overall benefits get.

Based on our digital twin and measured energy consumption we create building specific forecast models which quantify the heating, cooling and electricity demand of the complete facility.

Using machine learning we constantly train our algorithms to enhance the forecast accuracy. Whether it is heating or cooling grid, the information is extremely valuable for utility providers.

Embedding our service leads to better planning of energy supply for the grid operator as well as increased feasibility in energy procurement for the building owner.

Increased grid efficiency

  • Reduction of costs per kWh of energy
  • Reduction in CO2 emissions and CO2 certificate costs
  • Better planning releases capacities for customers
  • Cooling or heating energy generation

Scale up the potential of your predictions !

Request our case study
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Can't find the right use case for your solution?

Check out the current services we are developing.