Sander Skogen, Jose Rueda Torres, Peter Palensky (2024), Fundamental Assessment of Oscillatory Performance of Grid-Forming Integrated Systems, In 2024 International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation, AIE 2024, IEEE.

Yigu Liu, Alexandru Ştefanov, Ioannis Semertzis, Peter Palensky (2024), GraphCCI: Critical Components Identification for Enhancing Security of Cyber-Physical Power Systems, In IEEE Transactions on Industrial Cyber-Physical Systems Volume 2 p.340-349.

Jingxuan Wu, Shuting Li, Aihui Fu, Miloš Cvetković, Peter Palensky, Juan C. Vasquez, Josep M. Guerrero (2024), Hierarchical online energy management for residential microgrids with Hybrid hydrogen–electricity Storage System, In Applied Energy Volume 363.

Marcel Brouwers, Pedro Vergara, Peter Palensky, Jose Rueda (2024), Modelling and Topology Optimisation of Medium Voltage CPES - Synthetic Dutch Case Study, In Proceedings of the 2024 12th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES), IEEE.

Ioannis Semertzis, Alexandru Ştefanov, Alfan Presekal, Bas Kruimer, José Rueda Torres, Peter Palensky (2024), Power System Stability Analysis from Cyber Attacks Perspective, In IEEE Access Volume 12 p.113008-113035.

Z. Kaseb, M. Möller, P.P. Vergara Barrios, P. Palensky (2024), Power flow analysis using quantum and digital annealers: A discrete combinatorial optimization approach, In Scientific Reports Volume 14.

Zeynab Kaseb, Matthias Möller, Giorgio Tosti Balducci, Peter Palensky, Pedro P. Vergara (2024), Quantum neural networks for power flow analysis, In Electric Power Systems Research Volume 235.

Morteza Zare Oskouei, Hasan Mehrjerdi, Peter Palensky (2024), Risk-constrained bidding and offering strategy for sector-coupled electricity-hydrogen systems incorporating accessibility level of mobility sector, In Journal of Cleaner Production Volume 451.

Kutay Bölat, Simon H. Tindemans, Peter Palensky (2024), Stable training of probabilistic models using the leave-one-out maximum log-likelihood objective, In Electric Power Systems Research Volume 235.

Ioannis Semertzis, Himanshu Goyel, Vetrivel S. Rajkumar, Alfan Presekal, Alexandru Stefanov, Peter Palensky (2024), Towards Real-Time Distinction of Power System Faults and Cyber Attacks on Digital Substations Using Cyber-Physical Event Correlation, In Proceedings of the 2024 12th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES), IEEE.