Author

Khalid Ali

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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

Enhancing Spatiotemporal Networks with xLSTM: A Scalar LSTM Approach for 5G Traffic Forecasting

An enhanced Spatiotemporal Network (STN) integrating Scalar LSTM (sLSTM), a more efficient variant designed to improve temporal modeling while reducing computational complexity, is proposed, demonstrating superior generalization for 5G traffic prediction.

Zineddine Bettouche, Khalid Ali, Andreas Fischer et al. · 0 citations