Hendrik Flamme

M. Sc.



From November 2018 until August 2021, Hendrik Flamme has worked on multiple projects at the institute, in particular within publically supported projects of the EU in the context of Horizon 2020, which are large projects including numerous partners from industry and academia. He assumed the role as work package leader within the PHOENIX project to technically coordinate the project partners, as well as the internal project management.

His main research areas at the institute included machine learning applications in the domain of smart grids & microgrids (e.g. probabilistic time-series forecasting for energy and congestion management), and in the domain of cybersecurity for power systems (e.g. multi-step attack detection and event correlation using Petri nets, Bayesian networks, etc., and anomaly-based intrusion detection using graph neural networks, autoencoder, etc.).



  1. LinkedIn


Gürses-Tran, Gonca; Flamme, Hendrik; Monti, Antonello; "Probabilistic Load Forecasting for Day-Ahead Congestion Mitigation"; 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) : August 18-21, 2020, Liège, Belgium : conference proceedings, 6 Seiten
Schwarz, Sebastian; Flamme, Hendrik; Gürses-Tran, Gonca; Cupelli, Marco; Monti, Antonello; "Agent-based Power Scheduling Framework for Interconnected Local Energy Communities Incorporating DSO Objectives"; IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society : Convention Center, Lisbon, Portugal, 14-17 October, 2019 : proceedings / organized by Universidade Nova de Lisboa ; sponsored by IEEE, IEEE Industrial Electronics Society (IES), 6642-6648