85 citations · 116 across the 22 of their papers we have counts for
5 papers · 1 filter
Day-ahead Operation of an Aggregator of Electric Vehicles via Optimization under Uncertainty
Álvaro Porras, Ricardo Fernández-Blanco, Juan Miguel Morales +1
We pose the aggregator's problem as a bilevel model, where the upper level minimizes the total operation costs of the fleet of EVs, while each lower level minimizes the energy avai…
How Can Smart Buildings Be Price-Responsive?
Ricardo Fernández-Blanco, Juan Miguel Morales, Salvador Pineda
The prospective participation of smart buildings in the electricity system is strongly related to the increasing active role of demand-side resources in the electrical grid. In add…
Inverse Optimization with Kernel Regression: Application to the Power Forecasting and Bidding of a Fleet of Electric Vehicles
Ricardo Fernández-Blanco, Juan Miguel Morales, Salvador Pineda +1
This paper considers an aggregator of Electric Vehicles (EVs) who aims to learn the aggregate power of his/her fleet while also participating in the electricity market. The propose…
Feature-driven Improvement of Renewable Energy Forecasting and Trading
Miguel Á. Muñoz, Juan M. Morales, Salvador Pineda
Inspired from recent insights into the common ground of machine learning, optimization and decision-making, this paper proposes an easy-to-implement, but effective procedure to enh…
Data-Driven Screening of Network Constraints for Unit Commitment
Salvador Pineda, Juan Miguel Morales, Asunción Jiménez-Cordero
The transmission-constrained unit commitment (TC-UC) problem is one of the most relevant problems solved by independent system operators for the daily operation of power systems. G…