OASYS WORKSHOPS

The OASYS Workshops are thematic events that bring together multiple researchers—often including several international guests—for a series of talks and discussions around a shared topic. Designed to foster deeper scientific exchange, these workshops create a collaborative environment where participants can explore new ideas, receive feedback, and initiate joint research projects. By encouraging dialogue beyond institutional and national boundaries, the workshops play a key role in expanding the group’s international network and research impact.

FlexAnalytics Symposium on Advanced Techniques for Power System Operations, 21st - 22nd of September, 2023. (program)

The FlexAnalytics Symposium on Advanced Techniques for Power System Operations brought together experts to discuss cutting-edge methodologies and tools for optimizing power system operations. The event featured talks and discussions on advanced optimization techniques, data-driven approaches, and their applications in modern power systems. This symposium provided a platform for collaboration and knowledge exchange, fostering innovation in the field of power system operations. Below, we include the list of speakers and talks.

• Miguel Carrión Ruiz Peinado: Towards renewable-dominated power systems considering cost recovery of generation units
• Sonja Wogrin: Innovative time series aggregation for decarbonised power systems
• Kristina Pandžić: European bidding zone review
• Hrvoje Pandžić: Bridging the gap between differential equations and linear battery models for power system economics
• Thomas Florian Klatzer: Modelling of integrated power, gas and hydrogen systems
• José Martín Gómez de la Varga: Learning-based improvement in state estimation for unobservable systems
• Álvaro Porras Cabrera: Tight and compact models for power systems operation

DYCON Seminar: Leveraging Optimal Transport for Decision Making, 14th - 15th of November, 2022. (program)

The last decades have witnessed a revolution in information and communication technologies, leading to an explosion of data, observations, and measurements about physical and social processes. This exponential growth in data has opened new opportunities in Optimization-based Decision Making. The DYCON Seminar explored how this data can be used for two closely linked purposes: solving large and complex optimization problems that were previously intractable, and formulating mathematical optimization models that enable more confident decision-making about future outcomes. The OASYS research group welcomed invited speakers who shared their expertise and insights, fostering collaboration and advancing knowledge in this exciting field. Below, we include the list of selected talks.

• Yves Rychener: Wasserstein distributionally robust optimization with heterogeneous data sources
• Adrián Esteban Pérez: Data-driven distributionally robust optimization under a common pattern structure
• Daniel Kuhn: On the interplay of optimal transport and distributionally robust optimization

The FlexAnalytics Symposium on Data-driven Decision Making via Mathematical Optimization and Statistics, 26th - 29th of September, 2022. (program)

The FlexAnalytics Symposium brought together leading experts in data-driven decision-making, mathematical optimization, and statistics. The event featured a series of talks and discussions led by renowned researchers and practitioners, who shared their insights and advancements in leveraging data for solving complex problems in power systems and smart grids. The symposium provided a platform for exchanging ideas, fostering collaboration, and exploring innovative approaches to sustainable energy systems. Below, we include the list of speakers and talks.

• Diego Cattaruzza: Valid inequalities and primal heuristics for Mixed-Integer Quantile Minimization Problems
• Álvaro Porras & Concepción Domínguez: Tight and compact sample average approximation for joint chance constrained optimal power flow
• Miguel Ángel Muñoz: A bilevel framework for decision-making under uncertainty with contextual information
• Martin Schmitt: The minimum sum-of-squares clustering problem: Techniques for computing global solutions and a robust approach to deal with measurement errors
• Salvador Pineda: Machine-learning aided operation and planning of power systems
• Alois Pichler: Uniform function estimators in reproducing kernel Hilbert spaces
• Juan Antonio Cuesta Albertos: How far is a distribution to stochastically dominate another one?
• Adrián Esteban Pérez: Theory and applications of Distributionally Robust Optimization with side data
• Miguel Ángel Muñoz Díaz: Prescriptive Analytics in Electricity Markets

FlexAnalytics Workshop on Bilevel Optimization, 16th - 17th of January, 2020. (program)

The FlexAnalytics Workshop on Bilevel Optimization focused on the theory and applications of bilevel optimization, a challenging yet powerful framework for modeling hierarchical decision-making problems. Sponsored by #FlexAnalytics, the event brought together researchers and practitioners to discuss recent advancements and real-world applications of bilevel optimization. Below, we include the list of speakers and talks.

• Victor Bucarey: Real-world applications, models and algorithms for Stackelberg Security Games
• Asunción Jiménez-Cordero: A min-max approach to feature selection for nonlinear SVM classification