Jan Ullmann
AI + Neural-Network Predictions

Ing. Jan Ullmann

PhD student at the Faculty of Electrical Engineering, University of West Bohemia. I work on neural-network forecasting, day-ahead heat-demand prediction, and data-driven operational optimisation for advanced energy systems.

Explore

Academic work, organised for scanning.

ORCID
Current focus

Predictive AI for real energy systems.

The portfolio is positioned around a precise research identity: neural-network forecasting, hybrid prediction models, data-driven optimisation, and operational decision support for energy infrastructure.

Open latest publication

Day-Ahead Heat Demand Prediction Using BiLSTM-Based Hybrid Neural Networks

Proceedings of the 26th International Scientific Conference on Electric Power Engineering, Opole, Poland, 18-20 May 2026.

BiLSTM Hybrid neural networks Heat-demand prediction
Open

Data-driven operational optimisation at Texas A&M RELLIS Campus

Poster/presentation record on neural-network-based operational optimisation of small modular reactors.

Open

Flexible nuclear district heating with the Teplator concept: ORC cogeneration, load shifting, and data center integration

Sustainable Energy Technologies and Assessments, Volume 87, March 2026, 104912.

DOI
Contact

Let’s connect around AI prediction, neural networks, and energy-system optimisation.