Author

G. Gruosso

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Open access Sep 2026

Physics-Guided Residual Learning for Battery Modeling Across Held-Out Routes of a Single Electric Vehicle Using BMS Signals

Accurate battery models must generalize to unseen operating routes while supporting terminal-voltage prediction and recursive state-of-charge (SOC) estimation. This study evaluates whether physics-guided residual learning improves complete-route generalization compared with increasing equivalent-circuit-model (ECM) ord...

J. Valladolid, Juan P. Ortiz, G. Gruosso et al. · Batteries · 0 citations

Open access Aug 2026

Resilience-Oriented Predictive Energy Management and Route Adaptation for Long-Distance Electric Vehicles Under Charging Infrastructure and Road Network Uncertainties

The increased deployment of electric vehicles (EVs) has increased the demand for intelligent energy management strategies to ensure reliable and efficient operation during long-distance travel. Existing EV energy management methods are mainly concerned with energy optimization of the batteries and charging scheduling;...

B. Khan, Zahid Ullah, G. Gruosso et al. · World Electric Vehicle Journ... · 0 citations

Open access Aug 2026

Short-term PV power forecasting under real-world data constraints: a benchmark study of neural networks with uncertainty quantification

This study provides an in-depth comparative analysis of four state-of-the-art neural architectures, confirming that high-fidelity point forecasts and rigorously quantified uncertainty can be achieved simultaneously, providing a clear path toward more dependable PV dispatch, reserve allocation, and market participation.

Saloni Dhingra, G. Gruosso, G. Storti Gajani · Neural computing & applicati... · 0 citations