4 citations · 5 across the 14 of their papers we have counts for
16 papers
Scenario Reduction for Two-Stage Stochastic Mixed-Integer Programs
Yannick Werner, Juan Miguel Morales, Salvador Pineda +2
Two-stage stochastic mixed-integer programs are important tools for decision-making under uncertainty. Representing the uncertainty with many scenarios, however, can make them chal…
Towards time-variant scenario reduction for energy system optimization modeling under uncertainty
Yannick Werner, Juan Miguel Morales, Salvador Pineda +1
Stochastic programming has become a popular tool for supporting decision-making under uncertainty in the long-term planning of energy systems. Existing scenario reduction methods,…
Scenario Reduction for the Two-Stage Stochastic Unit Commitment Problem
Yannick Werner, Juan Miguel Morales, Salvador Pineda +2
The two-stage stochastic unit commitment problem has become an important tool to support decision-making under uncertainty in power systems. Representing the uncertainty by a large…
Data-Boosted Optimization for AC Optimal Power Flow: Interior-Point and Spatial Branching Methods
Ignacio Repiso, Salvador Pineda, Juan Miguel Morales
The AC Optimal Power Flow (AC-OPF) problem is a non-convex, NP-hard optimization task essential for secure and economic power system operation. While interior-point methods are wid…
Counterfactual optimization for fault prevention in complex wind energy systems
Emilio Carrizosa, Martina Fischetti, Roshell Haaker +1
Machine Learning models are increasingly used in businesses to detect faults and anomalies in complex systems. In this work, we take this approach a step further: beyond merely det…
The Sweet Spot of Bound Tightening for Topology Optimization
Salvador Pineda, Juan Miguel Morales
Topology optimization has emerged as a powerful and increasingly relevant strategy for enhancing the flexibility and efficiency of power system operations. However, solving these p…
Linear and Second-order-cone Valid Inequalities for Problems with Storage
Juan M. Morales
Batteries are playing an increasingly central role as distributed energy resources in the shift toward power systems dominated by renewable energy sources. However, existing batter…
A Graph-Based Iterative Strategy for Solving the All-Line Transmission Switching Problem
Marina Aguilar-Moreno, Salvador Pineda, Juan Miguel Morales
The transmission switching problem aims to determine the optimal network topology that minimizes the operating costs of a power system. This problem is typically formulated as a mi…
Distributionally Fair Peer-to-Peer Electricity Trading
Estibalitz Ruiz Irusta, Juan M. Morales
Peer-to-peer energy trading platforms enable direct electricity exchanges between peers who belong to the same energy community. In a semi-decentralized system, a community manager…
How long is long enough? Finite-horizon approximation of energy storage scheduling problems
Eléa Prat, Richard M. Lusby, Juan Miguel Morales +2
Energy storage scheduling problems, where a storage system is operated to maximize its profit in response to a price signal, are naturally formulated as infinite-horizon optimizati…
Beyond the Neural Fog: Interpretable Learning for AC Optimal Power Flow
Salvador Pineda, Juan Pérez-Ruiz, Juan Miguel Morales
The AC optimal power flow (AC-OPF) problem is essential for power system operations, but its non-convex nature makes it challenging to solve. A widely used simplification is the li…
Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources
Yves Rychener, Adrian Esteban-Perez, Juan M. Morales +1
We study decision problems under uncertainty, where the decision-maker has access to data sources that carry {\em biased} information about the underlying risk factors. The bia…
An enhanced heuristic framework for solving the Rank Pricing Problem
Asunción Jiménez-Cordero, Salvador Pineda, Juan Miguel Morales
The Rank Pricing Problem (RPP) is a challenging bilevel optimization problem with binary variables whose objective is to determine the optimal pricing strategy for a set of product…
Learning the price response of active distribution networks for TSO-DSO coordination
Juan Miguel Morales, Salvador Pineda, Yury Dvorkin
The increase in distributed energy resources and flexible electricity consumers has turned TSO-DSO coordination strategies into a challenging problem. Existing decomposition/decent…
An Efficient Robust Approach to the Day-ahead Operation of an Aggregator of Electric Vehicles
Álvaro Porras, Ricardo Fernández-Blanco, Juan M. Morales +1
The growing use of electric vehicles (EVs) may hinder their integration into the electricity system as well as their efficient operation due to the intrinsic stochasticity associat…
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…