Ecogrid EU - a large scale smart grids demonstration of real time market-based integration of numerous small DER and DR. - Yi Ding 001; Preben Nyeng; Jacob Østergaard; Maj Dang Trong; Salvador Pineda; Koen Kok; George B. Huitema; Ove S. Grande (ISGT Europe, 2012)

Enabling demand response by extending the European electricity markets with a real-time market. - Preben Nyeng; Koen Kok; Salvador Pineda; Ove S. Grande; Jonathan Sprooten; Bob Hebb; Frans Nieuwenhout (ISGT Europe, 2013)

Real-Time Market Concept Architecture for EcoGrid EU - A Prototype for European Smart Grids. - Yi Ding 001; Salvador Pineda; Preben Nyeng; Jacob Østergaard; Emil Mahler Larsen; Qiuwei Wu (IEEE Trans. Smart Grid, 2013)

Electricity market clearing with improved scheduling of stochastic production. - Juan M. Morales 001; Marco Zugno; Salvador Pineda; Pierre Pinson (Eur. J. Oper. Res., 2014)

Capacity expansion of stochastic power generation under two-stage electricity markets. - Salvador Pineda; Juan M. Morales 001 (Comput. Oper. Res., 2016)

Impact of forecast errors on expansion planning of power systems with a renewables target. - Salvador Pineda; Juan M. Morales 001; Trine Krogh Boomsma (Eur. J. Oper. Res., 2016)

On the inefficiency of the merit order in forward electricity markets with uncertain supply. - Juan M. Morales 001; Salvador Pineda (Eur. J. Oper. Res., 2017)

Renewable generation expansion under different support schemes: A stochastic equilibrium approach. - Salvador Pineda; Trine Krogh Boomsma; Sonja Wogrin (Eur. J. Oper. Res., 2018)

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

How Can Smart Buildings Be Price-Responsive? - Ricardo Fernández-Blanco; Juan Miguel Morales 001; Salvador Pineda (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)

Practical Framework for Problem-Based Learning in an Introductory Circuit Analysis Course. - Sebastián Martín; Salvador Pineda; Juan Pérez-Ruiz; Natalia Alguacil; Antonio Ruiz-Gonzalez (EDUCON, 2020)

The impact of short-term variability and uncertainty on long-term power planning. - Henrik C. Bylling; Salvador Pineda; Trine Krogh Boomsma (Ann. Oper. Res., 2020)

Forecasting the Price-Response of a Pool of Buildings via Homothetic Inverse Optimization. - Ricardo Fernández-Blanco; Juan Miguel Morales 001; Salvador Pineda (CoRR, 2020)

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)

Electricity Cost-Sharing in Energy Communities Under Dynamic Pricing and Uncertainty. - Mirna Grzanic; Juan M. Morales 001; Salvador Pineda; Tomislav Capuder (IEEE Access, 2021)

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)

A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification. - Asunción Jiménez-Cordero; Juan Miguel Morales 001; Salvador Pineda (Eur. J. Oper. Res., 2021)

The spot and balancing markets for electricity: open- and closed-loop equilibrium models. - Trine Krogh Boomsma; Salvador Pineda; Ditte Mølgård Heide-Jørgensen (Comput. Manag. Sci., 2022)

Warm-starting constraint generation for mixed-integer optimization: A Machine Learning approach. - Asunción Jiménez-Cordero; Juan Miguel Morales 001; Salvador Pineda (Knowl. Based Syst., 2022)

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)

The Cooperative Maximal Covering Location Problem with ordered partial attractions. - Concepción Domínguez; Ricardo Gázquez; Juan Miguel Morales 001; Salvador Pineda (Comput. Oper. Res., 2024)

Beyond the Neural Fog: Interpretable Learning for AC Optimal Power Flow. - Salvador Pineda; Juan Pérez-Ruiz; Juan Miguel Morales 001 (CoRR, 2024)

An enhanced heuristic framework for solving the Rank Pricing Problem. - Asunción Jiménez-Cordero; Salvador Pineda; Juan Miguel Morales 001 (Expert Syst. Appl., 2025)

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)

Unit Commitment with Cost-Oriented Temporal Resolution. - Junyi Tao; Ran Li; Salvador Pineda (CoRR, 2025)