Author

H. Allasi

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Open access Oct 2026

Physics-informed sparse deep neural networks for ultra-fast solar power forecasting and frequency response support in ancillary service markets

The rising penetration of solar photovoltaic (PV) systems into the current power grid leads to large variations and uncertainties, which are key challenges to frequency stability and reliable auxiliary services. In this research, a novel Physics-Informed Sparse Deep Neural Network (PI-SDNN) framework is proposed for...

Asit Mohanty, A. Ramasamy, S. Mohanty et al. · Scientific Reports · 0 citations

#federated learning Open access Sep 2026

A privacy preserving federated meta ensemble stacking framework with explainability and differential privacy for chronic kidney disease prediction in resource constrained settings

Findings demonstrate that the proposed framework provides an accurate, privacy-aware, and interpretable solution for decentralized CKD prediction, and maintains robust performance under Gaussian noise.

Komal Kumar Napa, D. Sathyanarayanan, Raguraman Purushothaman et al. · Discover Artificial Intellig... · 0 citations