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Verónica Álvarez Castro

Postdoc Fellow

T +34 946 567 842
F +34 946 567 842
E valvarez@bcamath.org

Information of interest

Veronica received the degree in Mathematics from the University of Salamanca, Spain, in 2019. She is at the Basque Center for Applied Mathematics-BCAM since July 2019 where she is developing data science techniques for energy applications. In particular, she is currently working on probabilistic predictions of energy consumption, generation, and price.
 

  • Probabilistic Load Forecasting Based on Adaptive Online Learning 

    Álvarez, V.Autoridad BCAM; Mazuelas, S.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2020)
    Load forecasting is crucial for multiple energy management tasks such as scheduling generation capacity, planning supply and demand, and minimizing energy trade costs. Such relevance has increased even more in recent ...

More information

Probabilistic load forecasting based on adaptive online learning

This repository contains code for the paper Probabilistic Load Forecasting based on Adaptive Online Learning

Authors: Veronica Alvarez

License: free and open source software

Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees (AMRC)

The proposed AMRCs account for multivariate and high-order time changes, provide performance guarantees at specific time instants, and efficiently update classification rules.

Authors: Veronica Alvarez

License: free and open source software

Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees

This repository is the official implementation of Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees.

Authors: Veronica Alvarez

License: free and open source software