Save Energy With Artificial Intelligence

Self-Learning Control for HVAC Systems

With artificial intelligence, you can reduce the energy consumption and CO2 emissions of your heating, ventilation and air conditioning systems by more than 20%. energyControl is a self-learning system that improves thermal comfort in buildings and reduces energy consumption—24 hours a day, 7 days a week. Fully automated, and without manual effort for the operator. Smart algorithms developed by Recogizer.

Minimum Energy for Maximum Comfort

Intelligent forecasts provide as much heat, cold and fresh air as an optimal room climate requires, with as little energy input as possible. energyControl keeps the room climate stable within your individual target range. Look forward to satisfied customers and employees.


Benefits of energyControl in the Building

Reduce Energy Consumption by More Than 20%

energyControl takes room climate technology to a new level of efficiency. With our predictive control system, HVAC systems consume significantly less energy.


Cut your CO2 Emissions

An easy-to-implement measure for sustainability initiatives of your company.



Improved Room Climate

Room temperature, humidity and air quality are kept stable within the set range. A pleasant room climate ensures higher employee and customer satisfaction.


Fast Amortisation

Low investment costs and a quick start-up of the predictive control ensure that the measure often pays off after less than 12 months.

How Does energyControl Work?

Pleasant Climate Come Rain or Shine

For an optimised control strategy, all individual influences on energy consumption are taken into account:

  • Weather data
  • Occupancy data
  • Use and opening hours
  • Complex plant contexts

With current measurement data and forecasts, energyControl continuously learns and adapts more and more precise to the building and its respective energy demand. We can integrate any HVAC system technology as well as local power generation.

Building Data and External Data Streams

The Digital Twin: Learns Building and System Behaviour

energyControl learns the building’s and system’s behaviour within the respective climatic and occupancy situations by creating a so-called Digital Twin. A Digital Twin constitutes a virtual copy of a physical building and its technical equipment. In the initial learning and monitoring phase, energyControl collects consumption data and extracts valuable information from it to feed the Twin.

Seamless Optimization with Updates Every 15 Minutes.

The Digital Twin is key to energy forecasts. According to your requirements for the individual climate zones in the building, energyControl takes over the predictive control to optimize the outcome - fully automatically, with updates every 15 minutes. The result? A stable, pleasant room climate that is automatically controlled. 24 hours a day, 7 days a week. Saving energy without fuss.

Book Demo

With energyControl You'll Get:

  • Predictive control of air-conditioning systems
  • Forecast-based, adaptive optimization strategy
  • Compliance with defined framework conditions, e.g. air quality, room temperature bands
  • Overview of system status, consumption and savings, can be viewed at any time in the energyPortal


  • Implementation during operation
  • Fully automated
  • Inclusion of building-specific data streams, e.g. location, weather forecasts, occupancy forecasts, usage times

energyControl is Ideal for:

The Perfect Extension to Your Building Management System

energyControl makes the most of your technical equipment. Our smart solution is based on the respective building automation level and adds a foresight feature to smooth out operations. All it takes is a building management system with standardised interfaces so you too can start saving.

So how does it work? Step one is connecting our Recogizer ControlBox to the building technology via standard interfaces such as BACnet, Modbus or OPC UA to start a detailed monitoring. In step two, a control policy is tailored directly according to your specifications and parameters, taking into account different climatic zones in each building. With live updates of operational data and forecasts of external factors, the systems are controlled predictively to make sure your requirements are met with as little energy consumption as possible.



Technical requirements:

  • Building automation level (automation stations DDCs/building control technology)
  • Energy meter data from air-conditioning systems

Supported standard interfaces of the BMS:

  • BACnet/IP
  • Modbus TCP
  • Ether-S-Bus (SAIA Bus)
  • OPC-UA

Ready to get started?
Contact us.

Recogizer Group GmbH
Rheinwerkallee 2
53227 Bonn

Phone: +49 228 299 745 15

Let us unleash the power of your data.