Normalizing flow-based day-ahead wind power scenario generation for profitable and reliable delivery commitments by wind farm operators. - Eike Cramer; Leonard Paeleke; Alexander Mitsos; Manuel Dahmen (Comput. Chem. Eng., 2022)

Demo: Testing AI-Driven Mac Learning in Autonomic Networks. - Leonard Paeleke; Navid Keshtiarast; Paul Seehofer; Roland Bless; Holger Karl; Marina Petrova; Martina Zitterbart (ICNP, 2024)

Machine Learning With Computer Networks: Techniques, Datasets, and Models. - Haitham Afifi; Sabrina Pochaba; Andreas Boltres; Dominic Laniewski; Janek Haberer; Leonard Paeleke; Reza Poorzare; Daniel Stolpmann; Nikolas Wehner; Adrian Redder; Eric Samikwa; Michael Seufert (IEEE Access, 2024)