Author

Phil Aupke

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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