1 citations · 5 across the 9 of their papers we have counts for
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Probabilistic Load Forecasting Based on Adaptive Online Learning
Verónica Álvarez, Santiago Mazuelas, José A. Lozano
Load forecasting is crucial for multiple energy management tasks such as scheduling generation capacity, planning supply and demand, and minimizing energy trade costs. Such relevan…
Minimax Classification with 0-1 Loss and Performance Guarantees
Santiago Mazuelas, Andrea Zanoni, Aritz Perez
Supervised classification techniques use training samples to find classification rules with small expected 0-1 loss. Conventional methods achieve efficient learning and out-of-samp…
Generalized Maximum Entropy for Supervised Classification
Santiago Mazuelas, Yuan Shen, Aritz Pérez
The maximum entropy principle advocates to evaluate events' probabilities using a distribution that maximizes entropy among those that satisfy certain expectations' constraints. Su…