Peter Pálenský

Delft University of Technology — Netherlands

Engineering · Physical Sciences

41h-index9.3kcitations486works2.92yr avg
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Research Topics

Smart Grid Security and Resilience(109), Smart Grid Energy Management(92), Microgrid Control and Optimization(87), HVDC Systems and Fault Protection(58), Optimal Power Flow Distribution(51)

Publications486 total

Physics-informed neural network with adaptive activation for power flow
International Journal of Electrical Power & Energy Systems·2026Open Access
Distributed Reinforcement Learning using Local Smart Meter Data for Voltage Regulation in Distribution Networks
arXiv (Cornell University)·2025Open Access
Quantum-Enhanced Reinforcement Learning for Accelerating Newton-Raphson Convergence with Ising Machines: A Case Study for Power Flow Analysis
ArXiv.org·2025Open Access
Virtual Power Plant Digital Twins: Ensuring Seamless Deployment via Standard Architectures
IEEE Power and Energy Magazine·2025
Transferable Graph Learning for Transmission Congestion Management via Busbar Splitting
arXiv (Cornell University)·2025Open Access
Clustered Federated Learning for Early Stage Cyber Attacks Detection in Power Systems
2025
Clustering Rooftop PV Systems via Probabilistic Embeddings
2025Open Access
Performance Comparison of Gate-Based and Adiabatic Quantum Computing for Power Flow Analysis
arXiv (Cornell University)·2025Open Access
The Living Forecast: Evolving Day-Ahead Predictions into Intraday Reality
arXiv (Cornell University)·2025Open Access
Flexibility Deployment in the 2050 Dutch Power System: A Seasonal Operational Assessment
2025
Biogas Power Plant Operation Modeling based on Statistical and Grey-box Methods
2025
PowerTeams – A Novel Approach for Collaboration in Engineering Power System Applications
2025
Energy management and stochastic operations planning for electrified container terminals with uncertain energy supply and demand
Journal of Cleaner Production·2025· 3 citedOpen Access
Intrusion Detection System for Digital Substations Using Semi-Supervised Learning and Traffic Distance Similarity Clustering
IEEE Transactions on Smart Grid·2025
Open source algorithms for maximizing V2G flexibility based on model predictive control
Electric Power Systems Research·2025· 1 citedOpen Access
Guest Editorial: Methodologies and applications of digital twin for renewable-dominant power systems
International Journal of Electrical Power & Energy Systems·2025Open Access
A flow-based model for conditional and probabilistic electricity consumption profile generation
Energy and AI·2025· 2 citedOpen Access
Model-Free Privacy Preserving Power Flow Analysis in Distribution Networks
IEEE Transactions on Smart Grid·2025
Scalable reinforcement learning for large-scale coordination of electric vehicles using graph neural networks
Communications Engineering·2025· 9 citedOpen Access
Cyber Attacks Detection, Prevention, and Source Localization in Digital Substation Communication using Hybrid Statistical-Deep Learning
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

E. Widl(10), Matthias Stifter(7), Atiyah Elsheikh(6), Kaikai Pan(6), Thomas Strasser(6), Alexandru Ştefanov(5), Vetrivel Subramaniam Rajkumar(5), A. van der Meer(4), Arun Joseph(4), Filip Andrén(4), Sebastian Rohjans(4), Sebastian Lehnhoff(4), Saeed Peyghami(3), Frede Blaabjerg(3), Alfan Presekal(3), Muhammad Usman Awais(3), Miloš Cvetković(3), Oliver Gehrke(3), Mazheruddin Syed(3), Dietmar Dietrich(2)