AI-Powered Active Energy Demand Management in Buildings

This innovation applies artificial intelligence (AI) and advanced data analytics to managing energy consumption in buildings. An intelligent energy management system (EMS) collects data from sensors and from the building’s operating systems (such as heating, cooling and lighting) and optimises how they run in real time, based on occupancy, weather forecasts, spot electricity prices or 15-minute load profiles. The aim is maximum energy efficiency, lower costs and greater comfort for building users.

The innovation is directly linked to the megatrends of digitalisation, automation and the use of AI in building management and the energy sector. It reflects the development of the Smart Buildings and Smart Region concepts and contributes to climate goals and the decarbonisation of the Czech Republic.

A solution that responds to current market conditions

The solution consists of a network of IoT sensors, a data platform with predictive algorithms and a management interface. Advanced systems can also control PV plants through communication protocols, as well as battery storage and wallboxes. The systems combine forecasts of generation and consumption, and now also economic forecasts (for example, of potential earnings on the spot market).

The system enables real-time monitoring, predictive control based on 15-minute load profiles and spot prices, and scalability from a single building to an entire complex of buildings. It can manage the flexibility of small sources (such as PV plants, water heaters and electric vehicles) as well as more complex energy systems. It can respond to the current market situation (for example, zero prices) and adjust output accordingly.

Limitations of the Innovation

The key barriers are the data readiness of buildings, inconsistent technical infrastructure and the need for qualified installation and operation. Inadequate protection against cyber threats is also a risk. To make full use of the system, the necessary facilities (such as a data centre) and enough staff to manage it are needed.

Prepared by ICOK, 2025