Author

Silla Ann Regi

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Open access Oct 2026

Machine Learning-Based Forecasting of Hybrid Wind–Solar Energy Generation For Sustainable Grid Integration

Integrating renewable energy into power grids requires precise energy forecasting for each area. This study designed a physics-informed machine learning model to predict combined wind and solar power in Punjab, with 60,909 data points (April 2021–August 2025) obtained from five meteorological stations hourly data telem...

Neha Dhiman, Narinder Kumar, Silla Ann Regi et al. · Adolescência e Saúde · 0 citations

Open access Oct 2026

AI-Driven Forecasting For Optimizing Energy Storage and Reducing Carbon Emissions in Renewable-Heavy Smart Grids

Distributed generation is more intermittent, and intelligent storage control systems are essential to match this variability across the grid and keep carbon emissions to a minimum. This study compares the actual performance of a forecast-driven, carbon-aware battery storage strategy to the baseline without battery stor...

Neha Dhiman, D. Kumar, Silla Ann Regi et al. · Adolescência e Saúde · 0 citations

#federated learning Open access Sep 2026

Adaptive feature fusion based semi-supervised federated learning system for ECG arrhythmia detection

Automatic cardiac arrhythmia detection using electrocardiogram (ECG) signals is essential for early diagnosis of cardiovascular conditions. Most of the previously existing systems for arrhythmia detection depend on fully supervised learning approaches. In addition to that, since the ECG patient data is centrally stored...

Silla Ann Regi, Jagadeesan Srinivasan, Thanapal Pandi · Frontiers in Artificial Inte... · 0 citations