Artificial intelligence is increasingly shaping how energy systems are planned, operated, and optimized. It enables intelligent control of energy flows, effective flexibility management, and improved handling of market dynamics and weather uncertainty, offering powerful capabilities for energy stakeholders. At the same time, its adoption raises important challenges around data accessibility, trust, privacy, and practical implementation.
This Deep Dive session explores the current state of AI in energy applications, focusing on how advanced algorithms and data-driven approaches can be deployed responsibly and effectively. Through expert presentations and live software demonstrations, participants will gain insight into agent-based energy control, privacy-preserving flexibility management, and the role of advanced market and weather forecasts in energy modelling. The session concludes with a demo of SmarThor, the performant central cloud data platform that collects and stores relevant data related to the Open Thor Living Lab environment.
Programme (English):
- 09.30h: Welcome & introduction
- 10.00h: From Energy Data Silos to Agentic Control: Leveraging Trusted Data for Optimised Energy Flows by Ingrid Croket, imec
- Including software demo of STAN, AI agent HomeLab Ghent
- 10.30h: Flexibility Management Needs Privacy-by-Design – How Can You Use Your Flexibility Without Sharing Your Smart Meter Data by Geert Deconinck, KU Leuven/EnergyVille
- Including software demo
- 11.00h: Navigating Market and Weather Uncertainty in Energy Modelling by Hussain Kazmi, KU Leuven/EnergyVille
- 11.30h: SmarThor Live Demo: A Cloud Data Backbone for Energy Research by Klaas Thoelen, KU Leuven/EnergyVille
- 12.00-13.00h: Networking lunch
Practical Details:
Date: 4 March 2026
Location: Aula Wolfspoort, Huis Bethlehem, Schapenstraat 34, 3000 Leuven
Price: Free of charge
DMA: We ask SMEs, mid-sized companies and government institutions to complete this ‘digital maturity assessment’ (takes about 10 minutes), as required by the EU.