collaborators

13 papers

cs.LG2026

Deep Learning for Cross-Border Electricity Price Forecasting: A Comparative Study

Hadeer Elashhab, Sai Srijan Papineni, Marvin Dorn +2

While publicly available electricity market data presents a valuable resource for forecasting research, the field lacks established benchmark datasets for standardized comparison.…

cs.LG2026

A Benchmark for Electrical Load Forecasting Across Grid Levels: Time-Series Transformers Outperform Established Methods

Matthias Hertel, Sebastian Pütz, Jonathan Kolar +3

Accurate load forecasting at multiple grid levels is essential for future smart grids, ranging from aggregated control area forecasts for balancing supply and demand to forecasts o…

cs.CR2026

FlowGuard: Flow Matching for Identity-Independent Detection of Data-Free Model Stealing Attacks on Energy System Intrusion Detection Systems

Maxime Schwarzer, Laurin Holz, Tobias Huerten +4

Artificial Intelligence (AI)-based Intrusion Detection Systems (IDS) deployed in energy infrastructure are vulnerable to model theft attacks, which allow adversaries to create evas…

cs.CR2026

AI Model Extraction Attacks: Bypassing Single-Client Assumptions in Defenses

Maxime Schwarzer, Johannes F. Loevenich, Gustavo Sánchez +5

Ensuring the protection of Artificial Intelligence (AI) models deployed in military Command and Control (C2) systems and critical infrastructure is essential for maintaining inform…

cs.AI2026

Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings

Hallah Shahid Butt, Qiong Huang, Gökhan Demirel +6

The increasing integration of renewable energy sources into power systems, particularly in buildings equipped with photovoltaic (PV) panels and energy storage systems, introduces s…

eess.SY2026

Mechanism-Dependent Antagonism of Auxiliary Information in Substation-Level Load Disaggregation for Distribution Network Planning

Xuanhao Mu, Kundan Thota, Nan Liu +3

Open-source energy system models disaggregate zonal electricity demand to substations through Voronoi-based preprocessing pipelines that combine socioeconomic weighting with auxili…