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Home Members Petkovic, Milena, Dr.

Petkovic, Milena, Dr.

Contact

Position
Guest
Room
3307
Phone
+49 30 84185-460
Email
Email
Division
Mathematical Algorithmic Intelligence
Department
Applied Algorithmic Intelligence Methods
Group
Predictive Methods

Publications

2025
High-dimensional high-frequency time series prediction with a mixed integer optimisation method Operations Research Proceedings 2023. OR 2023, pp. 423-429, 2025 (epub ahead of print, preprint available as ZIB-Report 23-30) Nazgul Zakiyeva, Milena Petkovic PDF (ZIB-Report)
BibTeX
URN
DOI
Predicting Fluid Interface Instability in Energy Systems for Sustainable Energy Transition Operations Research Proceedings 2023. OR 2023., pp. 349-356, 2025 (epub ahead of print) Thi Thai Le, Milena Petkovic PDF
BibTeX
DOI
Resilient Forecasting of High-Dimensional Network Time Series in the Energy Domain: A Hybrid Approach Operations Research Proceedings 2023. OR 2023, pp. 375-381, 2025 (epub ahead of print) Milena Petkovic, Janina Zittel BibTeX
DOI
2024
Analysis of the Impact of COVID-19 and Russo-Ukraine War on Natural Gas Flow Using Time Series Forecasting Preceedings of the 16th International Conference on Management of Digital Ecosystems, Communications in Computer and Information Science (Springer CCIS), 2024 (accepted for publication) Natalia Selini Hadjidimitriou, Thorsten Koch, Marco Lippi, Milena Petkovic, Marco Mamei BibTeX
Forecasting and modeling the dynamics of large-scale energy networks under the supply and demand balance constraint Optimization in Green Sustainability and Ecological Transition. ODS 2023, Vol.12, AIRO Springer Series, 2024 Milena Petkovic, Janina Zittel BibTeX
DOI
On the Numerical Treatment of Interlaced Target Values - Modeling, Optimization and Simulation of Regulating Valves in Gas Networks Optimization and Engineering, Vol.25, pp. 491-527, 2024 (preprint available as ZIB-Report 21-32) Felix Hennings, Milena Petkovic, Tom Streubel PDF (ZIB-Report)
PDF (ZIB-Report)
BibTeX
DOI
2022
A hybrid approach for high precision prediction of gas flows Energy Systems, Vol.13, pp. 383-408, 2022 (preprint available as ZIB-Report 19-26) Milena Petkovic, Ying Chen, Inken Gamrath, Uwe Gotzes, Natalia Selini Hadjidimitrou, Janina Zittel, Xiaofei Xu, Thorsten Koch PDF (ZIB-Report)
PDF (ZIB-Report)
BibTeX
DOI
Mathematical Optimization for Analyzing and Forecasting Nonlinear Network Time Series Operations Research Proceedings 2022, 2022 (preprint available as ZIB-Report 22-19) Milena Petkovic, Nazgul Zakiyeva PDF (ZIB-Report)
BibTeX
Modeling and Forecasting Gas Network Flows with Multivariate Time Series and Mathematical Programming Approach Operations Research Proceedings 2021. OR 2021., pp. 200-205, Lecture Notes in Operations Research, 2022 (preprint available as ZIB-Report 21-23) Nazgul Zakiyeva, Milena Petkovic PDF (ZIB-Report)
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DOI
Statistical Analysis and Modeling for Detecting Regime Changes in Gas Nomination Time Series Operations Research Proceedings 2021. OR 2021, pp. 188-193, Lecture Notes in Operations Research, 2022 (preprint available as ZIB-Report 21-22) Milena Petkovic, Nazgul Zakiyeva, Janina Zittel PDF (ZIB-Report)
BibTeX
DOI
2021
Deep learning for spatio-temporal supply anddemand forecasting in natural gas transmission networks Energy Science and Engineering, 2021 (epub ahead of print, preprint available as ZIB-Report 21-01) Milena Petkovic, Thorsten Koch, Janina Zittel PDF (ZIB-Report)
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DOI
2020
Advances in Verification of ReLU Neural Networks Journal of Global Optimization, 2020 (preprint available as ) Ansgar Rössig, Milena Petkovic BibTeX
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Production and Demand Management Mathematical Optimization for Efficient and Robust Energy Networks, Springer, 2020, ISBN: 978-3-030-57442-0 M. Diekerhof, A. Monti, E. Lebedeva, A. H. Tkaczyk, I. Yüksel-Ergün, J. Zittel, L. F. Escudero, A. Soroudi, C. Helmberg, Ž. Kanovíc, M. Petkovic, F. Lacalandra, A. Frangioni, J. Lee, A. De Filippo, M. Lombardi, M. Milano, P. Ezran, Y. Haddad BibTeX
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2019
Prediction of Intermitted Flows in Large Gas Networks ZIB-Report 19-29 Inken Gamrath, Milena Petkovic PDF
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2018
Forecasting Natural Gas Flows in Large Networks Machine Learning, Optimization, and Big Data. MOD 2017., Lecture Notes in Computer Science(vol 10710), pp. 158-171, 2018 M. Dell’Amico, Natalia Selini Hadjidimitriou, Thorsten Koch, Milena Petkovic BibTeX
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