{"id":1013646,"date":"2026-04-21T11:03:28","date_gmt":"2026-04-21T14:03:28","guid":{"rendered":"https:\/\/www.psr-inc.com\/analytics-report\/post\/psr-e-academic-research\/"},"modified":"2026-04-23T10:37:06","modified_gmt":"2026-04-23T13:37:06","slug":"psr-e-academic-research","status":"publish","type":"analytics_post","link":"https:\/\/www.psr-inc.com\/en\/analytics-report\/post\/psr-e-academic-research\/","title":{"rendered":"PSR and academic research"},"content":{"rendered":"<div class=\"vgblk-rw-wrapper limit-wrapper\">\n<p>PSR is a leading contributor to the global academic and research landscape, engaging with top institutions and sharing our expertise through presentations, publications, and collaborative projects. Our commitment to innovation is reflected in our active participation in key industry and academic forums.<\/p>\n\n\n\n<p>Recently, PSR contributions were recognized through the prestigious Leadership In Power Award from IEEE Power and Energy Society received by Luiz Barroso, PSR\u2019s CEO, for leadership in power and energy systems through research, policy, markets and regulatory contributions. (<a href=\"https:\/\/ieee-pes.org\/about-pes\/awards-scholarships\/ieee-power-energy-society-leadership-in-power-award\/\">https:\/\/ieee-pes.org\/about-<\/a> <a href=\"https:\/\/ieee-pes.org\/about-pes\/awards-scholarships\/ieee-power-energy-society-leadership-in-power-award\/\">pes\/awards-scholarships\/ieee-power-energy-society-leadership-in-power-award\/)<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Upcoming Academic Engagements<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">FERC Seminar<\/h3>\n\n\n\n<p>&#8220;Increasing Real-Time and Day-Ahead Market and Planning Efficiency Through Improved Software&#8221; (July 10th): Mario Pereira will deliver a presentation titled &#8220;Multiscale Stochastic Day- and Week-ahead Scheduling of a Large Renewable-dominated Power System \u2013 The Brazilian Case.&#8221; More details are available here: <a href=\"https:\/\/www.ferc.gov\/news-events\/events\/increasing-real-time-and-day-ahead-market-and-planning-efficiency-through-1\">https:\/\/www.ferc.gov\/news-events\/events\/increasing-real-time-and-day-<\/a> <a href=\"https:\/\/www.ferc.gov\/news-events\/events\/increasing-real-time-and-day-ahead-market-and-planning-efficiency-through-1\">ahead-market-and-planning-efficiency-through-1.<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">International Conference on Stochastic Programming<\/h3>\n\n\n\n<p>PSR is sending a delegation to the premier event for decision-making under uncertainty, taking place in Paris from July 28th to August 1st. The PSR team is set to deliver the following presentations:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&#8220;Incorporation of risk metrics in electric system expansion planning and portfolio efficiency analysis&#8221; by Lucas Guerreiro<\/li>\n\n\n\n<li>&#8220;Multicut Benders Decomposition for Generation Expansion with Dynamic Probabilistic Reserves&#8221; by Tiago Andrade<\/li>\n\n\n\n<li>&#8220;Comparison between different parallelization schemes in SDDP policy training&#8221; by Guilherme Bodin<\/li>\n\n\n\n<li>\u201cMulticyclic multistage stochastic programming using daisy chains\u201d by Gabriel Cunha<\/li>\n\n\n\n<li>&#8220;ApplicationDrivenLearning.jl: A High-Performance Library for Training Predictive Models Based on the Application Cost&#8221; by Joaquim Dias Garcia, a collaborative work with PUC-Rio.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">More events<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Brazilian Operations Research Society Conference (SBPO 2025 &#8211; October 5-9, Gramado, Brazil): PSR will be actively involved. The list of accepted works will be published on August 2nd: <a href=\"https:\/\/sbpo2025.galoa.com.br\/sbpo-2025\/page\/5407-home?lang=pt-br\">https:\/\/sbpo2025.galoa.com.br\/sbpo-2025\/page\/5407-home?lang=pt-br.<\/a><\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Brazilian Seminar on Electrical Energy Generation and Transmission (XXVIII SNPTEE &#8211; October 19-22, Recife, Brazil): PSR&#8217;s contributions will be featured. Accepted works will be announced on July 31st: <a href=\"https:\/\/snptee.com.br\/\">https:\/\/snptee.com.br\/.<\/a><\/li>\n\n\n\n<li>IREP&#8217;2025 Symposium (Sorrento, Italy): Our collaborative research, &#8220;Strategic Bidding in Energy Markets with Gradient-Based Iterative Methods,&#8221; co-authored by PSR, GeorgiaTech, Los Alamos National Lab, and Mines Paris PSL, will be presented by Andrew Rosemberg (GeorgiaTech): <a href=\"https:\/\/www.irep2025.unisannio.it\/home-page\">https:\/\/www.irep2025.unisannio.it\/home-page<\/a><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Recent Academic Highlights<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Hydro Scheduling 2025 Conference<\/h3>\n\n\n\n<p>A delegation from PSR, led by Mario Pereira, participated in the Hydro Scheduling 2025 conference (May 26-28) in Rio de Janeiro. Mario delivered a plenary talk on &#8220;Multiscale stochastic optimization of large hydro systems with AI-driven climate scenarios and HPC.&#8221; (https:\/\/eventos.fgv.br\/hydroscheduling-2025)<\/p>\n\n\n\n<p>The PSR team also presented six additional works:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>&#8220;The IARA Model: A Market Design Simulator for Short-Term Electricity Price Formation&#8221;, by Gabriel Vidigal, showcasing the IARA software developed through a PSR-led project, coordinated by CCEE and funded by the World Bank. (Further information: https:\/\/iara.psr- inc.com\/)<\/li>\n\n\n\n<li>&#8220;Virtual reservoir bids: A solution for the externalities in the operation of hydro cascades,&#8221;<\/li>\n<\/ol>\n\n\n\n<p>by Gabriel Cunha, presenting a market mechanism developed as part of the PSR-CCEE- WorldBank project to facilitate bid-based markets in complex hydropower cascades.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&#8220;Comparison between different parallelization schemes in SDDP policy training,&#8221; by<\/li>\n<\/ul>\n\n\n\n<p>Guilherme Bodin, detailing early findings on novel strategies for accelerating SDDP.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&#8220;Physical Guarantee for Interconnected Systems,&#8221; by Rafael Benchimol Klausner, which addressed issues in Brazil&#8217;s expansion planning and proposed innovative solutions, including a new Physical Guarantee computation strategy and a multi-attribute auction type.<\/li>\n\n\n\n<li>&#8220;LinearDecisionRules.jl,&#8221; an open-source software package co-developed by Bernardo Freitas<\/li>\n<\/ul>\n\n\n\n<p>(FGV) and Joaquim Dias Garcia (PSR), designed to solve complex optimization problems under uncertainty. (Available at: https:\/\/github.com\/bfpc\/LinearDecisionRules.jl)<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&#8220;Effects of Systematic Bias in Inflow Forecasting on the Operational Planning of the<\/li>\n<\/ul>\n\n\n\n<p>Brazilian Energy System,&#8221; a joint work with Alexandre Street (PUC-Rio) and Joaquim Dias Garcia (PSR), emphasizing the critical impact of inaccurate inflow forecasts on system operation.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">INFORMS Computing Society Conference<\/h3>\n\n\n\n<p>PSR also played a significant role at the INFORMS Computing Society conference (March 14-16 in Toronto, Canada). Joaquim Dias Garcia served as cluster-chair of modeling systems, organizing four sessions. He presented &#8220;ApplicationDrivenLearning.jl: A High-Performance Library for Training Predictive Models Based on the Application Cost&#8221; (jointly developed with PUC-Rio researchers) and co-authored &#8220;A Julia Package for Modeling Linear Decision Rules&#8221; with Bernardo Freitas (FGV) and &#8220;Extending DiffOpt.jl for Non-Convex Differentiable Optimization&#8221; with Andrew Rosemberg (Georgia Tech).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">CIGRE Symposium 2025<\/h3>\n\n\n\n<p>Renan Pinho from PSR presented \u201cMethodology for valuing the flexibility attribute performed by BESS in the Brazilian Electric System\u201d at the 2025 CIGRE Symposium in Trondheim, Norway (May 12-14). The findings from the structured methodology reinforce the potential of BESS as a cost-effective solution to support renewable generation integration while improving the economic and operational efficiency of the grid.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Recent Publications (2024 &amp; 2025)<\/h2>\n\n\n\n<p>PSR\u2019s research frequently appears in leading academic journals. Here is a sample:<\/p>\n\n\n\n<p>&#8220;Robustness: The Missing Ingredient in Generation Scheduling.&#8221; Alexandre Street, Alexandre Moreira, Jos\u00e9 M Arroyo, Natalia Alguacil, Luiz Barroso. <em>IEEE Power and Energy Magazine<\/em>. 2025. This joint work from PSR, PUC-Rio, Lawrence Berkeley National Lab, and Universidad Castilla-La Mancha, explores the challenges and solutions for operating power systems with high uncertainty from renewable energy sources.<\/p>\n\n\n\n<p><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10970215\">https:\/\/ieeexplore.ieee.org\/document\/10970215<\/a><\/p>\n\n\n\n<p>&#8220;Long-term Hydrothermal Bid-based Market Simulator.&#8221; J Dias Garcia, A Street, M Veiga Pereira. <em>IEEE <\/em><em>Transactions on Energy Markets, Policy and Regulation<\/em>. 2025. This work, part of Joaquim Dias Garcia&#8217;s PhD thesis (a collaboration between PSR and PUC-Rio), introduces a simulator for evaluating market power in large-scale bid-based markets with high hydroelectric penetration.<\/p>\n\n\n\n<p><a href=\"https:\/\/ieeexplore.ieee.org\/document\/10869374\">https:\/\/ieeexplore.ieee.org\/document\/10869374<\/a><\/p>\n\n\n\n<p>&#8220;Learning Optimal Power Flow value functions with input-convex neural networks.&#8221; A Rosemberg, M Tanneau, B Fanzeres, J Garcia, P Van Hentenryck. <em>Electric Power Systems Research<\/em>, 2024. This joint publication from GeorgiaTech, PUC-Rio, and PSR proposes a novel method for solving Optimal Power Flow parametric instances using neural networks.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0378779624005297\">https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0378779624005297<\/a><\/p>\n\n\n\n<p>&#8220;Application-driven learning: A closed-loop prediction and optimization approach applied to dynamic reserves and demand forecasting.&#8221; J Dias Garcia, A Street, T Homem-de-Mello, FD Mu\u00f1oz. <em>Operations Research<\/em>. 2024. Developed as part of Joaquim Dias Garcia&#8217;s PhD thesis (a collaborative effort between PSR, PUC-Rio, Generadoras de Chile, and Universidad Adolfo Ibanez), this methodology combines machine learning and optimization for enhanced reserves allocation.<\/p>\n\n\n\n<p><a href=\"https:\/\/pubsonline.informs.org\/doi\/10.1287\/opre.2023.0565\">https:\/\/pubsonline.informs.org\/doi\/10.1287\/opre.2023.0565<\/a><\/p>\n\n\n\n<p>&#8220;Regularization and optimization in model-based clustering.&#8221; RA Sampaio, JD Garcia, M Poggi, T Vidal. <em>Pattern Recognition<\/em>. 2024. Part of Raphael Sampaio\u2019s MSc thesis (a joint project between PSR, PUC- Rio, and Polytechnique Montreal), this novel unsupervised machine learning methodology demonstrates superior performance.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S003132032400061X\">https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S003132032400061X<\/a><\/p>\n\n\n\n<p>&#8220;Flexible differentiable optimization via model transformations.&#8221; M Besan\u00e7on, J Dias Garcia, B Legat, A Sharma. <em>INFORMS Journal on Computing<\/em>. 2024. This paper, a result of a collaboration between PSR, Zuse Institute Berlin, KU Leuven, and Columbia University, presents a new software package integrating optimization problems into machine learning pipelines.<\/p>\n\n\n\n<p><a href=\"https:\/\/pubsonline.informs.org\/doi\/10.1287\/ijoc.2022.0283\">https:\/\/pubsonline.informs.org\/doi\/10.1287\/ijoc.2022.0283<\/a><\/p>\n\n\n\n<p>&#8220;Disjunctive Programming meets QUBO.&#8221; PM Xavier, P Ripper, J Pulsipher, JD Garcia, N Maculan, DEB Neira. <em>Computer Aided Chemical Engineering<\/em>. 2024. This paper was a joint development by PSR, NASA, Purdue University, UFRJ, and Waterloo University. Software is presented to bridge generic optimization models and quantum computers.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/B9780443288241505731\">https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/B9780443288241505731<\/a><\/p>\n\n\n\n<p>&#8220;Generation capacity expansion planning with spatially-resolved electricity demand and increasing variable renewable energy supply: Perspectives from power pooling in West Africa.&#8221; Bissiri, M., Moura, P., Perez, R. C., Figueiredo, N. C., &amp; da Silva, P. P. (2024). <em>Applied Energy, 364<\/em>, 123115. This work highlights a collaboration between PSR and Universidade de Coimbra (Portugal), utilizing PSR tools to address capacity expansion challenges in West Africa.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0306261924004987\">https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0306261924004987<\/a><\/p>\n<\/div><!-- .vgblk-rw-wrapper -->","protected":false},"featured_media":1013517,"template":"","meta":{"_acf_changed":false},"report_section":[481],"class_list":["post-1013646","analytics_post","type-analytics_post","status-publish","has-post-thumbnail","hentry","report_section-innovation"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>PSR and academic research - 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\/en\/analytics-report\/post\/psr-e-academic-research\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PSR and academic research - PSR Energy\" \/>\n<meta property=\"og:description\" content=\"PSR is a leading contributor to the global academic and research landscape, engaging with top institutions and sharing our expertise through presentations, publications, and collaborative projects. 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Our commitment to innovation is reflected in our active participation in key industry and academic forums. 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