Execution environment for your own calculations and integrations (e.g. forecasting, optimisation, interfaces) – planned or event-driven.
If standard functions are not sufficient, you retain full design freedom without having to introduce a second system. This reduces integration costs and enables tailor-made optimisations with clear guardrails. And all this based on the Python language.
Typical applications:
Forecasts for energy demand or utilisation as a basis for predictive control.
Optimisation suggestions from reinforcement learning models with controlled release.
Connection of external services (e.g. procurement, ticket systems, tariff interfaces).
Reading of PDF invoices for the digitisation of consumption data.