Privacy Notice

Welcome on BABLE

We put great importance to data protection and therefore use the data you provide to us with upmost care. You can handle the data you provide to us in your personal dashboard. You will find our complete regulations on data protection and clarification of your rights in our privacy notice. By using the website and its offers and navigating further, you accept the regulations of our privacy notice and terms and conditions.



Virtual Power Plant optimization

Company: Siemens

Improving the prediction of the energy performance and energy markets for RES electricity and heat.

Overview of the product

Virtual power plants (VPPs) are promising solutions to address the decarbonization and energy efficiency goals in the smart energy grid. They assume the coordination of local energy resources such as energy generation, storage, and consumption. They are used to tackle problems brought by the stochastic nature of renewable energy, lack of energy storage devices, or insufficient local energy flexibility on the demand side.

An integrated energy system requires optimization over energy forms in a built city environment. Automated analysis of the energy balance and optimization based on a prediction model is essential for this optimization. Positive energy blocks require balancing of energy consumption and the optimization requires advanced prediction model development.


Sello’s smart energy system

Demonstration in Leppävaara district (Espoo, Finland)

The virtual power plant demonstration in Leppävaara encompasses a complex energy system, with electricity consumption and local production in the city block environment and sector coupling energy systems in mobility and heating. The Virtual power plant optimization is based on a prediction model of the entire complexity of the local energy system.

PV Panels on Sello Center
Something went wrong on our side. Please try reloading the page and if the problem still persists, contact us via
Action successfully completed!