Collaborative and Privacy-Preserving Peak Load Management for Resource-Efficient Production

Theme Artificial Intelligence, Production planning
Project title Collaborative and Privacy-Preserving Peak Load Management for Resource-Efficient Production (KoLaPro)
Project duration 01.09.2026 – 31.05.2027

The goal of the innovation sprint is to develop a collaborative load peak management system for industrial power grids that safeguards data privacy. To this end, the existing oktoflow platform will be expanded to include AI-powered load forecasting and confidential, cross-company aggregation of load forecasts. The application is designed to enable more precise forecasting of peak loads in the future, coordinate them across the grid, reduce them, and simultaneously protect sensitive operational and process data from the participating companies.

Sponsor

This project is funded by the German Federal Ministry of Research, Technology and Space (BMFTR) as part of the DATIpilot funding program (funding reference number 03DPC1515A). It is part of the ReGaP innovation community. 

Your contact persons