Weijie Xia, Hanyue Huang, Edgar Mauricio Salazar Duque, Shengren Hou, Peter Palensky, Pedro P. Vergara (2024), Comparative assessment of generative models for transformer- and consumer-level load profiles generation, In Sustainable Energy, Grids and Networks Volume 38.

Peter Palensky, Pierluigi Mancarella, Trevor Hardy, Milos Cvetkovic (2024), Cosimulating Integrated Energy Systems with Heterogeneous Digital Twins: Matching a Connected World, In IEEE Power and Energy Magazine Volume 22 p.52-60.

Vetrivel Subramaniam Rajkumar, Alexandru Stefanov, José L. Rueda, P. Palensky (2024), Dynamical Analysis of Power System Cascading Failures Caused by Cyber Attacks, In IEEE Transactions on Industrial Informatics p.1-11.

Rishabh Bhandia, Jose J. Chavez, Miloš Cvetković, Pedro M. Garcia-Vite, Marjan Popov, Peter Palensky (2024), Failure anticipation scheme in distribution systems based on wave distortions and Montecarlo methods, In International Journal of Electrical Power & Energy Systems.

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.

Vetrivel Subramaniam Rajkumar, Giuseppe Silano, Oliver Gehrke, Steffen Vogel, Edmund Widl, Gabriele Paludetto, Evangelos Rikos, Tesfaye Amare Zerihun, Alexandru Stefanov, Peter Palensky (2024), Laboratory Middleware for the Cyber-Physical Integration of Energy Research Infrastructures, In 12th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, IEEE.

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.

Yigu Liu, Haiwei Xie, Alfan Presekal, Alexandru Stefanov, Peter Palensky (2023), A GNN-Based Generative Model for Generating Synthetic Cyber-Physical Power System Topology, In IEEE Transactions on Smart Grid Volume 14 p.4968-4971.

Ties van der Heijden, Nick van de Giesen, Peter Palensky, Edo Abraham (2023), A stochastic MPC framework for the control of pumping stations in polder systems with regard for uncertainty in inflow and hourly electricity prices, In Proceedings of EGU General Assembly 2023, Vienna, Austria, 24-28 Apr 2023, EGU23-6203, https://doi.org/10.5194/egusphere-egu23-6203, 2023. Volume EGU23-6203.

Z. Kaseb, Yu Xiang, P. Palensky, P.P. Vergara Barrios (2023), Adaptive Activation Functions for Deep Learning-based Power Flow Analysis, In IEEE PES ISGT EUROPE 2023.