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M. Comech

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Open access Jul 2026

Rapid Machine Learning–Driven Modeling for Large-Scale Validation and Optimization of Control Variables in Wireless Power Transfer Systems

Beyond drastically reducing simulation time and experimental effort, this methodology will enable knowledge extraction and its use for formulating design rules, paving the groundwork for developing simplified, real-time adaptive control strategies, facilitating the reduction of control variables and the narrowing of se...

O. García-Izquierdo, J. F. Sanz, J. Villa et al. · 0 citations
Open access Jul 2026

Comparative Evaluation of Direct and Recursive Multi-Step Forecasting for Electricity Demand Using Deep Learning and Gradient Boosting Models

This study compares two multi-step forecasting strategies for 24-h horizons: a direct 24→24 strategy and a recursive strategy based on sequential 24→1 predictions, and concludes that the selection of a forecasting strategy depends on the required balance between overall accuracy, temporal stability, and computational c...

Erik Fernando Mendez-Garces, David Buldain, M. Comech · 0 citations

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