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Author

Andreas Kassler

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#artificial intelligence Preprint Sep 2026

Physics-Informed State Space Models for Day-Ahead Photovoltaic Power Forecasting

Accurate day-ahead photovoltaic (PV) power forecasting requires both strong temporal modeling and adherence to physical PV system constraints. Purely data-driven models often ignore the underlying PV conversion process and may produce predictions that are outside the operational range of a PV system. In this paper, we...

Phil Aupke, M. Hassan, Khalid Ali et al. · 0 citations
Preprint Sep 2026

Robustness of Local Energy Markets to Cyberattacks: Case Study of False Data Injection

Market clearing in community-based local energy markets relies on power demand and PV forecasts, making it vulnerable to coordinated false data injection (FDI) attacks. This paper proposes a bilevel optimization framework to identify worst-case bus-level FDI against interconnected multi-community electricity markets wi...

Mehran Moradi, Reza Zamani, Phil Aupke et al. · 0 citations

PMDlink – Bridging the Gap Between DPDK and Hardware Packet Processing

This work proposes PMDlink, a side-channel API enabling direct hardware control via DPDK’s PMD, exposing advanced packet processing features without major driver modifications, by integrating DPDK with Linux switchdev, thus combining software flexibility and hardware acceleration.

Rubens Figueiredo, Andreas Kassler, Hagen Woesner et al. · 1 citation

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