• A bilevel framework for decision-making under uncertainty with contextual information 

      Morales González, Juan Miguel; Pineda Morente, Salvador; Muñoz Díaz, Miguel Ángel (Elsevier, 2021-11-22)
      In this paper, we propose a novel approach for data-driven decision-making under uncertainty in the presence of contextual information. Given a finite collection of observations of the uncertain parameters and potential ...
    • Chronological time-period clustering for optimal capacity expansion planning 

      Morales González, Juan Miguel; Pineda Morente, Salvador (2018-07-12)
      To reduce the computational burden of capacity expansion models, power system operations are commonly accounted for in these models using representative time periods of the planning horizon such as hours, days or weeks. ...
    • Chronological Time-Period Clustering for Optimal Capacity Expansion Planning 

      Morales González, Juan Miguel; Pineda Morente, Salvador (2018-07-06)
      To reduce the computational burden of capacity expansion models, power system operations are commonly accounted for in these models using representative time periods of the planning horizon such as hours, days or weeks. ...
    • Is learning for the unit commitment problem a low-hanging fruit? 

      Pineda Morente, Salvador; Morales González, Juan Miguel (Elsevier, 2022-02-16)
      The blast wave of machine learning and artificial intelligence has also reached the power systems community, and amid the frenzy of methods and black-box tools that have been left in its wake, it is sometimes difficult to ...
    • Learning the price response of active distribution networks for TSO-DSO coordination 

      Pineda Morente, Salvador; Morales González, Juan Miguel; Dvorkin, Yury (IEEE, 2021)
      The increase in distributed energy resources and flexible electricity consumers has turned TSO-DSO coordination strategies into a challenging problem. Existing decomposition/decentralized methods apply divide-and-conquer ...