{"id":1013604,"date":"2026-04-21T11:03:28","date_gmt":"2026-04-21T14:03:28","guid":{"rendered":"https:\/\/www.psr-inc.com\/analytics-report\/post\/psr-y-la-investigacion-academica\/"},"modified":"2026-04-23T08:20:25","modified_gmt":"2026-04-23T11:20:25","slug":"psr-y-la-investigacion-academica","status":"publish","type":"analytics_post","link":"https:\/\/www.psr-inc.com\/es\/analytics-report\/post\/psr-y-la-investigacion-academica\/","title":{"rendered":"PSR y la investigaci\u00f3n acad\u00e9mica"},"content":{"rendered":"
\n

PSR es una contribuidora destacada en el panorama acad\u00e9mico y de investigaci\u00f3n global, involucr\u00e1ndose con las principales instituciones y compartiendo su expertise a trav\u00e9s de presentaciones, publicaciones y proyectos colaborativos. Nuestro compromiso con la innovaci\u00f3n se refleja en nuestra participaci\u00f3n activa en foros clave del sector y acad\u00e9micos.<\/p>\n\n\n\n

Recientemente, las contribuciones de PSR fueron reconocidas a trav\u00e9s del prestigioso Leadership In Power Award de la IEEE Power and Energy Society<\/strong>, recibido por Luiz Barroso, CEO de PSR, por el liderazgo en sistemas de energ\u00eda y potencia a trav\u00e9s de contribuciones en investigaci\u00f3n, pol\u00edtica, mercados y regulaci\u00f3n. (https:\/\/ieee-pes.org\/about-pes\/awards-scholarships\/ieee-power-energy-society-leadership-in-power-award\/)<\/p>\n\n\n\n

Pr\u00f3ximos Compromisos Acad\u00e9micos<\/h2>\n\n\n\n

Seminario FERC<\/h3>\n\n\n\n

\u00abIncreasing Real-Time and Day-Ahead Market and Planning Efficiency Through Improved Software\u00bb (10 de julio)<\/strong>: Mario Pereira realizar\u00e1 una presentaci\u00f3n titulada \u00abMultiscale Stochastic Day- and Week-ahead Scheduling of a Large Renewable-dominated Power System \u2013 The Brazilian Case.\u00bb<\/p>\n\n\n\n

M\u00e1s detalles disponibles en: https:\/\/www.ferc.gov\/news-events\/events\/increasing-real-time-and-day-ahead-market-and-planning-efficiency-through-1.<\/p>\n\n\n\n

International Conference on Stochastic Programming<\/h3>\n\n\n\n

PSR est\u00e1 enviando una delegaci\u00f3n al principal evento de toma de decisiones bajo incertidumbre<\/strong>, a realizarse en Par\u00eds del 28 de julio al 1 de agosto.<\/p>\n\n\n\n

El equipo de PSR presentar\u00e1 los siguientes trabajos:<\/p>\n\n\n\n

    \n
  • \u201cIncorporation of risk metrics in electric system expansion planning and portfolio efficiency analysis\u201d<\/strong>, por Lucas Guerreiro<\/li>\n\n\n\n
  • \u201cMulticut Benders Decomposition for Generation Expansion with Dynamic Probabilistic Reserves\u201d<\/strong>, por Tiago Andrade<\/li>\n\n\n\n
  • \u201cComparison between different parallelization schemes in SDDP policy training\u201d<\/strong>, por Guilherme Bodin<\/li>\n\n\n\n
  • \u201cMulticyclic multistage stochastic programming using daisy chains\u201d<\/strong>, por Gabriel Cunha<\/li>\n\n\n\n
  • \u201cApplicationDrivenLearning.jl: A High-Performance Library for Training Predictive Models Based on the Application Cost\u201d<\/strong>, por Joaquim Dias Garcia (trabalho em colabora\u00e7\u00e3o com a PUC-Rio)<\/li>\n<\/ul>\n\n\n\n

    M\u00e1s eventos<\/h3>\n\n\n\n
      \n
    • Brazilian Operations Research Society Conference (SBPO 2025 \u2013 5 al 9 de octubre, Gramado, Brasil):<\/strong> PSR estar\u00e1 activamente involucrada. La lista de trabajos aceptados se publicar\u00e1 el 2 de agosto: https:\/\/sbpo2025.galoa.com.br\/sbpo-2025\/page\/5407-home?lang=pt-br.<\/li>\n\n\n\n
    • Brazilian Seminar on Electrical Energy Generation and Transmission (XXVIII SNPTEE \u2013 19 al 22 de octubre, Recife, Brasil):<\/strong> Las contribuciones de PSR ser\u00e1n presentadas. Los trabajos aceptados se anunciar\u00e1n el 31 de julio: https:\/\/snptee.com.br\/.<\/li>\n\n\n\n
    • IREP’2025 Symposium (Sorrento, Italia):<\/strong> Nuestra investigaci\u00f3n colaborativa, \u00abStrategic Bidding in Energy Markets with Gradient-Based Iterative Methods\u00bb, coautorada por PSR, GeorgiaTech, Los Alamos National Lab y Mines Paris PSL, ser\u00e1 presentada por Andrew Rosemberg (GeorgiaTech): https:\/\/www.irep2025.unisannio.it\/home-page<\/li>\n<\/ul>\n\n\n\n

      Destacados Acad\u00e9micos Recientes<\/h2>\n\n\n\n

      Hydro Scheduling 2025 Conference<\/h3>\n\n\n\n

      Una delegaci\u00f3n de PSR, liderada por Mario Pereira, particip\u00f3 en la conferencia Hydro Scheduling 2025 (26 al 28 de mayo) en R\u00edo de Janeiro. Mario realiz\u00f3 una charla plenaria sobre \u00abMultiscale stochastic optimization of large hydro systems with AI-driven climate scenarios and HPC.\u00bb (https:\/\/eventos.fgv.br\/hydroscheduling-2025)<\/p>\n\n\n\n

      El equipo de PSR tambi\u00e9n present\u00f3 seis trabajos adicionales:<\/p>\n\n\n\n

        \n
      1. \u00abThe IARA Model: A Market Design Simulator for Short-Term Electricity Price Formation\u00bb<\/strong>, por Gabriel Vidigal, presentando el software IARA desarrollado en un proyecto liderado por PSR, coordinado por CCEE y financiado por el Banco Mundial. (M\u00e1s informaci\u00f3n: https:\/\/iara.psr-inc.com\/)
        <\/li>\n\n\n\n
      2. \u00abVirtual reservoir bids: A solution for the externalities in the operation of hydro cascades\u00bb<\/strong>, por Gabriel Cunha, presentando un mecanismo de mercado desarrollado como parte del proyecto PSR-CCEE-Banco Mundial para facilitar mercados basados en ofertas en cascadas hidroel\u00e9ctricas complejas.
        <\/li>\n\n\n\n
      3. \u00abComparison between different parallelization schemes in SDDP policy training\u00bb<\/strong>, por Guilherme Bodin, detallando hallazgos iniciales sobre nuevas estrategias para acelerar el SDDP.
        <\/li>\n\n\n\n
      4. \u00abPhysical Guarantee for Interconnected Systems\u00bb<\/strong>, por Rafael Benchimol Klausner, que abord\u00f3 problemas en la planificaci\u00f3n de la expansi\u00f3n de Brasil y propuso soluciones innovadoras, incluyendo una nueva estrategia de c\u00e1lculo de Garant\u00eda F\u00edsica y un nuevo tipo de subasta multiatributo.
        <\/li>\n\n\n\n
      5. \u00abLinearDecisionRules.jl\u00bb<\/strong>, un paquete de software de c\u00f3digo abierto codesarrollado por Bernardo Freitas (FGV) y Joaquim Dias Garcia (PSR), dise\u00f1ado para resolver problemas complejos de optimizaci\u00f3n bajo incertidumbre. (Disponible en: https:\/\/github.com\/bfpc\/LinearDecisionRules.jl)
        <\/li>\n\n\n\n
      6. \u00abEffects of Systematic Bias in Inflow Forecasting on the Operational Planning of the Brazilian Energy System\u00bb<\/strong>, trabajo conjunto con Alexandre Street (PUC-Rio) y Joaquim Dias Garcia (PSR), enfatizando el impacto cr\u00edtico de las previsiones imprecisas de caudales en la operaci\u00f3n del sistema.<\/li>\n<\/ol>\n\n\n\n

        INFORMS Computing Society Conference<\/h3>\n\n\n\n

        PSR tambi\u00e9n desempe\u00f1\u00f3 un papel significativo en la conferencia INFORMS Computing Society (14 al 16 de marzo en Toronto, Canad\u00e1). Joaquim Dias Garcia actu\u00f3 como chair del cluster de sistemas de modelado, organizando cuatro sesiones. Present\u00f3 \u00abApplicationDrivenLearning.jl: A High-Performance Library for Training Predictive Models Based on the Application Cost\u00bb<\/strong> (desarrollado conjuntamente con investigadores de PUC-Rio) y fue coautor de \u00abA Julia Package for Modeling Linear Decision Rules\u00bb<\/strong> con Bernardo Freitas (FGV) y \u00abExtending DiffOpt.jl for Non-Convex Differentiable Optimization\u00bb<\/strong> con Andrew Rosemberg (Georgia Tech).<\/p>\n\n\n\n

        CIGRE Symposium 2025<\/h3>\n\n\n\n

        Renan Pinho de PSR present\u00f3 \u00abMethodology for valuing the flexibility attribute performed by BESS in the Brazilian Electric System\u00bb en el CIGRE Symposium 2025 en Trondheim, Noruega (12 al 14 de mayo). Los hallazgos de la metodolog\u00eda estructurada refuerzan el potencial del BESS como una soluci\u00f3n costo-efectiva para apoyar la integraci\u00f3n de la generaci\u00f3n renovable, al tiempo que mejora la eficiencia econ\u00f3mica y operativa de la red.<\/p>\n\n\n\n

        Publicaciones Recientes (2024 y 2025)<\/h2>\n\n\n\n

        La investigaci\u00f3n de PSR aparece frecuentemente en destacadas revistas acad\u00e9micas. Una muestra:<\/p>\n\n\n\n

          \n
        • \u00abRobustness: The Missing Ingredient in Generation Scheduling.\u00bb<\/strong> Alexandre Street, Alexandre Moreira, Jos\u00e9 M Arroyo, Natalia Alguacil, Luiz Barroso. IEEE Power and Energy Magazine<\/em>. 2025. Este trabajo conjunto de PSR, PUC-Rio, Lawrence Berkeley National Lab y Universidad Castilla-La Mancha explora los desaf\u00edos y las soluciones para operar sistemas de energ\u00eda con alta incertidumbre proveniente de fuentes renovables. https:\/\/ieeexplore.ieee.org\/document\/10970215
          <\/li>\n\n\n\n
        • \u00abLong-term Hydrothermal Bid-based Market Simulator.\u00bb<\/strong> J Dias Garcia, A Street, M Veiga Pereira. IEEE Transactions on Energy Markets, Policy and Regulation<\/em>. 2025. Este trabajo, parte de la tesis doctoral de Joaquim Dias Garcia (colaboraci\u00f3n entre PSR y PUC-Rio), introduce un simulador para la evaluaci\u00f3n del poder de mercado en mercados basados en ofertas a gran escala con alta penetraci\u00f3n hidroel\u00e9ctrica. https:\/\/ieeexplore.ieee.org\/document\/10869374
          <\/li>\n\n\n\n
        • \u00abLearning Optimal Power Flow value functions with input-convex neural networks.\u00bb<\/strong> A Rosemberg, M Tanneau, B Fanzeres, J Garcia, P Van Hentenryck. Electric Power Systems Research<\/em>, 2024. Esta publicaci\u00f3n conjunta de GeorgiaTech, PUC-Rio y PSR propone un nuevo m\u00e9todo para resolver instancias param\u00e9tricas de Flujo de Potencia \u00d3ptimo usando redes neuronales. https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0378779624005297
          <\/li>\n\n\n\n
        • \u00abApplication-driven learning: A closed-loop prediction and optimization approach applied to dynamic reserves and demand forecasting.\u00bb<\/strong> J Dias Garcia, A Street, T Homem-de-Mello, FD Mu\u00f1oz. Operations Research<\/em>. 2024. Desarrollado como parte de la tesis doctoral de Joaquim Dias Garcia (esfuerzo colaborativo entre PSR, PUC-Rio, Generadoras de Chile y Universidad Adolfo Ib\u00e1\u00f1ez), esta metodolog\u00eda combina aprendizaje autom\u00e1tico y optimizaci\u00f3n para una asignaci\u00f3n mejorada de reservas. https:\/\/pubsonline.informs.org\/doi\/10.1287\/opre.2023.0565
          <\/li>\n\n\n\n
        • \u00abRegularization and optimization in model-based clustering.\u00bb<\/strong> RA Sampaio, JD Garcia, M Poggi, T Vidal. Pattern Recognition<\/em>. 2024. Parte de la tesis de maestr\u00eda de Raphael Sampaio (proyecto conjunto entre PSR, PUC-Rio y Polytechnique Montreal), esta novedosa metodolog\u00eda de aprendizaje autom\u00e1tico no supervisado demuestra un desempe\u00f1o superior. https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S003132032400061X
          <\/li>\n\n\n\n
        • \u00abFlexible differentiable optimization via model transformations.\u00bb<\/strong> M Besan\u00e7on, J Dias Garcia, B Legat, A Sharma. INFORMS Journal on Computing<\/em>. 2024. Este art\u00edculo, resultado de una colaboraci\u00f3n entre PSR, Zuse Institute Berlin, KU Leuven y Columbia University, presenta un nuevo paquete de software que integra problemas de optimizaci\u00f3n en pipelines de aprendizaje autom\u00e1tico. https:\/\/pubsonline.informs.org\/doi\/10.1287\/ijoc.2022.0283
          <\/li>\n\n\n\n
        • \u00abDisjunctive Programming meets QUBO.\u00bb<\/strong> PM Xavier, P Ripper, J Pulsipher, JD Garcia, N Maculan, DEB Neira. Computer Aided Chemical Engineering<\/em>. 2024. Este art\u00edculo fue un desarrollo conjunto de PSR, NASA, Purdue University, UFRJ y Waterloo University. Se presenta un software para conectar modelos gen\u00e9ricos de optimizaci\u00f3n con computadores cu\u00e1nticos. https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/B9780443288241505731
          <\/li>\n\n\n\n
        • \u00abGeneration capacity expansion planning with spatially-resolved electricity demand and increasing variable renewable energy supply: Perspectives from power pooling in West Africa.\u00bb<\/strong> Bissiri, M., Moura, P., Perez, R. C., Figueiredo, N. C., & da Silva, P. P. (2024). Applied Energy<\/em>, 364, 123115. Este trabajo destaca una colaboraci\u00f3n entre PSR y la Universidade de Coimbra (Portugal), utilizando herramientas de PSR para abordar los desaf\u00edos de expansi\u00f3n de capacidad en \u00c1frica Occidental. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0306261924004987<\/li>\n<\/ul>\n<\/div>","protected":false},"featured_media":1013518,"template":"","meta":{"_acf_changed":false},"report_section":[481],"class_list":["post-1013604","analytics_post","type-analytics_post","status-publish","has-post-thumbnail","hentry","report_section-innovation"],"acf":[],"yoast_head":"\nPSR y la investigaci\u00f3n acad\u00e9mica - PSR Energy<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.psr-inc.com\/es\/analytics-report\/post\/psr-y-la-investigacion-academica\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PSR y la investigaci\u00f3n acad\u00e9mica - PSR Energy\" \/>\n<meta property=\"og:description\" content=\"PSR es una contribuidora destacada en el panorama acad\u00e9mico y de investigaci\u00f3n global, involucr\u00e1ndose con las principales instituciones y compartiendo su expertise a trav\u00e9s de presentaciones, publicaciones y proyectos colaborativos. 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