EV-Fleet Power Forecasting via Kernel-Based Inverse Optimization. - Ricardo Fernández-Blanco; Juan Miguel Morales 001; Salvador Pineda; Álvaro Porras (CoRR, 2019)

Day-ahead Operation of an Aggregator of Electric Vehicles via Optimization under Uncertainty. - Álvaro Porras; Ricardo Fernández-Blanco; Juan Miguel Morales 001; Salvador Pineda (CoRR, 2019)

An Efficient Robust Approach to the Day-Ahead Operation of an Aggregator of Electric Vehicles. - Álvaro Porras; Ricardo Fernández-Blanco; Juan M. Morales 001; Salvador Pineda (IEEE Trans. Smart Grid, 2020)

Inverse optimization with kernel regression: Application to the power forecasting and bidding of a fleet of electric vehicles. - Ricardo Fernández-Blanco; Juan Miguel Morales 001; Salvador Pineda; Álvaro Porras (Comput. Oper. Res., 2021)

Tight and Compact Sample Average Approximation for Joint Chance-Constrained Problems with Applications to Optimal Power Flow. - Álvaro Porras; Concepción Domínguez; Juan Miguel Morales 001; Salvador Pineda (INFORMS J. Comput., 2023)

Unifying Chance-Constrained and Robust Optimal Power Flow for Resilient Network Operations. - Álvaro Porras; Line Roald; Juan M. Morales 001; Salvador Pineda (IEEE Trans. Control. Netw. Syst., 2025)