# PSR Energy

> A PSR impulsiona a inovação no setor de energia com soluções em software e consultoria voltadas à eficiência, sustentabilidade e transição energética\.

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## Páginas
- [Energy Report](https://www.psr-inc.com/pt-br/energy-report/)
- [Energy Report](https://www.psr-inc.com/pt-br/energy-report/)
- [Energy Report](https://www.psr-inc.com/pt-br/energy-report/)
- [Download del SDDP](https://www.psr-inc.com/pt-br/software/sddp/download-sddp/)
- [Download SDDP](https://www.psr-inc.com/pt-br/software/sddp/download-sddp/)

## Colaboradores
- [Luiza Marques](https://www.psr-inc.com/pt-br/colaborador/luiza-marques/)
- [Gabriel Galvão, Bsc](https://www.psr-inc.com/pt-br/colaborador/gabriel-galvao-bsc/)
- [Clarice Candido, Bsc](https://www.psr-inc.com/pt-br/colaborador/clarice-candido/)
- [Clarice Candido, Bsc](https://www.psr-inc.com/pt-br/colaborador/clarice-candido/)
- [Rodrigo Machado](https://www.psr-inc.com/pt-br/colaborador/rodrigo-machado/)

## Edições Analytics Report
- [Edition \#03](https://www.psr-inc.com/pt-br/analytics-report/edicao/edicoes-03/)
- [Edición \#03](https://www.psr-inc.com/pt-br/analytics-report/edicao/edicoes-03/)
- [Edição \#03](https://www.psr-inc.com/pt-br/analytics-report/edicao/edicoes-03/)
- [Edición \#02](https://www.psr-inc.com/pt-br/analytics-report/edicao/edicao-02/)
- [Edition \#02](https://www.psr-inc.com/pt-br/analytics-report/edicao/edicao-02/)

## Edições do Energy Report
- [Issue 234 \- RISK MANAGEMENT FOR SEVERE WEATHER EVENTS SUCH AS THE NEXT EL NIÑO](https://www.psr-inc.com/pt-br/edicao-energy-report/edicao-234-gestao-de-risco-para-eventos-climaticos-severos-como-o-proximo-el-nino/)
- [Issue 234 \- RISK MANAGEMENT FOR SEVERE WEATHER EVENTS SUCH AS THE NEXT EL NIÑO](https://www.psr-inc.com/pt-br/edicao-energy-report/edicao-234-gestao-de-risco-para-eventos-climaticos-severos-como-o-proximo-el-nino/)
- [Edição 234 \- GESTÃO DE RISCO PARA EVENTOS CLIMÁTICOS SEVEROS COMO O PRÓXIMO EL NIÑO](https://www.psr-inc.com/pt-br/edicao-energy-report/edicao-234-gestao-de-risco-para-eventos-climaticos-severos-como-o-proximo-el-nino/)
- [Issue 233 \- THE NEW UNCERTAINTIES AND PLANNING UNDER UNCERTAINTY](https://www.psr-inc.com/pt-br/edicao-energy-report/edicao-233-as-novas-incertezas-e-o-planejamento-sob-incerteza/)
- [Issue 233 \- THE NEW UNCERTAINTIES AND PLANNING UNDER UNCERTAINTY](https://www.psr-inc.com/pt-br/edicao-energy-report/edicao-233-as-novas-incertezas-e-o-planejamento-sob-incerteza/)

## Notícias
- [PSR promueve encuentro exclusivo con patrocinadores del Workshop PSR/Canal Energia 2026](https://www.psr-inc.com/pt-br/noticia/psr-promove-encontro-exclusivo-com-patrocinadores-do-workshop-psr-canal-energia-2026/)
- [PSR hosts exclusive gathering for 2026 PSR/CanalEnergia Workshop sponsors](https://www.psr-inc.com/pt-br/noticia/psr-promove-encontro-exclusivo-com-patrocinadores-do-workshop-psr-canal-energia-2026/)
- [PSR promove encontro exclusivo com patrocinadores do Workshop PSR/Canal Energia 2026](https://www.psr-inc.com/pt-br/noticia/psr-promove-encontro-exclusivo-com-patrocinadores-do-workshop-psr-canal-energia-2026/)
- [La tercera edición del Analytics Report acompaña la evolución de la inteligencia artificial aplicada a los sistemas de energía — de las redes neuronales a los agentes autónomos y la computación en GPU](https://www.psr-inc.com/pt-br/noticia/terceira-edicao-do-analytics-report-acompanha-a-evolucao-da-inteligencia-artificial-aplicada-a-sistemas-de-energia-das-redes-neurais-aos-agentes-autonomos-e-a-computacao-em-gpu/)
- [Terceira edição do Analytics Report acompanha a evolução da inteligência artificial aplicada a sistemas de energia — das redes neurais aos agentes autônomos e à computação em GPU](https://www.psr-inc.com/pt-br/noticia/terceira-edicao-do-analytics-report-acompanha-a-evolucao-da-inteligencia-artificial-aplicada-a-sistemas-de-energia-das-redes-neurais-aos-agentes-autonomos-e-a-computacao-em-gpu/)

## Posts do Analytics Report
- [Evaluación de la capacidad de la IA agéntica en un estudio de caso de programación hidrotérmica estocástica](https://www.psr-inc.com/pt-br/analytics-report/post/avaliacao-da-capacidade-da-ia-agentica-em-um-estudo-de-caso-de-planejamento-hidrotermico-estocastico/)
- [Assessing the capability of agentic AI in a Stochastic Hydrothermal Scheduling case study](https://www.psr-inc.com/pt-br/analytics-report/post/avaliacao-da-capacidade-da-ia-agentica-em-um-estudo-de-caso-de-planejamento-hidrotermico-estocastico/)
- [Avaliação da capacidade da IA agêntica em um estudo de caso de planejamento hidrotérmico estocástico](https://www.psr-inc.com/pt-br/analytics-report/post/avaliacao-da-capacidade-da-ia-agentica-em-um-estudo-de-caso-de-planejamento-hidrotermico-estocastico/)
- [How AI reasoning unlocked the next generation of software engineering](https://www.psr-inc.com/pt-br/analytics-report/post/como-o-raciocinio-da-ia-desbloqueou-a-proxima-geracao-da-engenharia-de-software/)
- [Cómo el razonamiento de la IA desbloqueó la próxima generación de la ingeniería de software](https://www.psr-inc.com/pt-br/analytics-report/post/como-o-raciocinio-da-ia-desbloqueou-a-proxima-geracao-da-engenharia-de-software/)

## Produções científicas
- [An efficient hybrid heuristic for the transmission expansion planning under uncertainty](https://www.psr-inc.com/pt-br/producao-cientifica/an-efficient-hybrid-heuristic-for-the-transmission-expansion-planning-under-uncertainty/): We address the stochastic transmission expansion planning \(STEP\) problem under uncertainty in renewable generation capacity and demand\. STEP’s objective is to minimize total transmission investment and generation costs\. To tackle the computational challenges posed by large\-scale systems, we propose a heuristic strategy that combines the progressive hedging \(PH\) algorithm for scenario\-wise decomposition with an integrated approach for solving the resulting subproblems\. The latter combines a destroy\-and\-repair operator, a beam search procedure, and a mixed\-integer programming solver\. The proposed framework is evaluated on large\-scale systems from the literature with up to 10,000 nodes, adapted to stochastic scenarios using parameters from the California test system \(CATS\)\. Compared with a non\-trivial baseline algorithm that includes the same integrated approach, the proposed PH\-based method consistently improved solution quality for the six systems considered \(including CATS\), achieving an average cost improvement of 5\.28% within a 2\-hour time limit\.
- [An efficient hybrid heuristic for the transmission expansion planning under uncertainty](https://www.psr-inc.com/pt-br/producao-cientifica/an-efficient-hybrid-heuristic-for-the-transmission-expansion-planning-under-uncertainty/): We address the stochastic transmission expansion planning \(STEP\) problem under uncertainty in renewable generation capacity and demand\. STEP’s objective is to minimize total transmission investment and generation costs\. To tackle the computational challenges posed by large\-scale systems, we propose a heuristic strategy that combines the progressive hedging \(PH\) algorithm for scenario\-wise decomposition with an integrated approach for solving the resulting subproblems\. The latter combines a destroy\-and\-repair operator, a beam search procedure, and a mixed\-integer programming solver\. The proposed framework is evaluated on large\-scale systems from the literature with up to 10,000 nodes, adapted to stochastic scenarios using parameters from the California test system \(CATS\)\. Compared with a non\-trivial baseline algorithm that includes the same integrated approach, the proposed PH\-based method consistently improved solution quality for the six systems considered \(including CATS\), achieving an average cost improvement of 5\.28% within a 2\-hour time limit\.
- [An efficient hybrid heuristic for the transmission expansion planning under uncertainty](https://www.psr-inc.com/pt-br/producao-cientifica/an-efficient-hybrid-heuristic-for-the-transmission-expansion-planning-under-uncertainty/): We address the stochastic transmission expansion planning \(STEP\) problem under uncertainty in renewable generation capacity and demand\. STEP’s objective is to minimize total transmission investment and generation costs\. To tackle the computational challenges posed by large\-scale systems, we propose a heuristic strategy that combines the progressive hedging \(PH\) algorithm for scenario\-wise decomposition with an integrated approach for solving the resulting subproblems\. The latter combines a destroy\-and\-repair operator, a beam search procedure, and a mixed\-integer programming solver\. The proposed framework is evaluated on large\-scale systems from the literature with up to 10,000 nodes, adapted to stochastic scenarios using parameters from the California test system \(CATS\)\. Compared with a non\-trivial baseline algorithm that includes the same integrated approach, the proposed PH\-based method consistently improved solution quality for the six systems considered \(including CATS\), achieving an average cost improvement of 5\.28% within a 2\-hour time limit\.
- [Integrated investment and operational planning for sugarcane\-based biofuels and bioelectricity under market uncertainty](https://www.psr-inc.com/pt-br/producao-cientifica/integrated-investment-and-operational-planning-for-sugarcane-based-biofuels-and-bioelectricity-under-market-uncertainty/): Sugarcane biomass is a strategic resource for the energy transition, particularly in Brazil, where it underpins electricity and ethanol production\. Investment planning is challenged by diverse production pathways, price volatility, and feedstock variability\. This work develops a two\-stage stochastic optimization model integrating investment and operational decisions for sugarcane facilities\. The model aims to support robust planning for diversified biomass plants, aiding the sector’s decarbonization\. The first stage defines capacity expansion under economies of scale through a power\-law cost function\. The second stage defines operational decisions under price and feedstock uncertainty, modeled via scenarios and Conditional Value\-at\-Risk\. From an investor’s perspective, the objective is to minimize risk\-adjusted net costs\. In addition to its methodological contributions, this work also provides an open\-source implementation of the proposed capacity expansion planning framework, referred to as OptBio\. A Brazilian case study shows risk\-neutral strategies favor sugar/ethanol but are vulnerable, whereas risk\-averse strategies promote diversification\. Sensitivity analyses indicate biomethane and hydrogen may become viable with favorable prices, while biochar boost productivity and profitability\.
- [Integrated investment and operational planning for sugarcane\-based biofuels and bioelectricity under market uncertainty](https://www.psr-inc.com/pt-br/producao-cientifica/integrated-investment-and-operational-planning-for-sugarcane-based-biofuels-and-bioelectricity-under-market-uncertainty/): Sugarcane biomass is a strategic resource for the energy transition, particularly in Brazil, where it underpins electricity and ethanol production\. Investment planning is challenged by diverse production pathways, price volatility, and feedstock variability\. This work develops a two\-stage stochastic optimization model integrating investment and operational decisions for sugarcane facilities\. The model aims to support robust planning for diversified biomass plants, aiding the sector’s decarbonization\. The first stage defines capacity expansion under economies of scale through a power\-law cost function\. The second stage defines operational decisions under price and feedstock uncertainty, modeled via scenarios and Conditional Value\-at\-Risk\. From an investor’s perspective, the objective is to minimize risk\-adjusted net costs\. In addition to its methodological contributions, this work also provides an open\-source implementation of the proposed capacity expansion planning framework, referred to as OptBio\. A Brazilian case study shows risk\-neutral strategies favor sugar/ethanol but are vulnerable, whereas risk\-averse strategies promote diversification\. Sensitivity analyses indicate biomethane and hydrogen may become viable with favorable prices, while biochar boost productivity and profitability\.

## Projetos de PD\&I
- [Viabilidade e Aspectos Regulatórios de Hidrogênio Produzido via Eletrólise](https://www.psr-inc.com/pt-br/consultoria/pesquisa-desenvolvimento/projetos-pdi/viabilidade-e-aspectos-regulatorios-de-hidrogenio-produzido-via-eletrolise/)
- [UK Pact \- Energy Transition and Industrial Descarbonization in Brazil \- Support the Steel Industry to Achieve Sectoral Mitigation Goals](https://www.psr-inc.com/pt-br/consultoria/pesquisa-desenvolvimento/projetos-pdi/uk-pact-energy-transition-and-industrial-descarbonization-in-brazil-support-the-steel-industry-to-achieve-sectoral-mitigation-goals/)
- [Software para Avaliação de Potencial Hidrelétrico e Divisão de Quedas](https://www.psr-inc.com/pt-br/consultoria/pesquisa-desenvolvimento/projetos-pdi/software-para-avaliacao-de-potencial-hidreletrico-e-divisao-de-quedas/)
- [Sistemática de Leilão Combinatório para os Produtos de Lastro e Energia no Setor Elétrico Brasileiro](https://www.psr-inc.com/pt-br/consultoria/pesquisa-desenvolvimento/projetos-pdi/sistematica-de-leilao-combinatorio-para-os-produtos-de-lastro-e-energia-no-setor-eletrico-brasileiro/)
- [Sistema de Otimização do Fornecimento de Carvão Mineral para Usinas Termelétricas \(MOCCA\)](https://www.psr-inc.com/pt-br/consultoria/pesquisa-desenvolvimento/projetos-pdi/sistema-de-otimizacao-do-fornecimento-de-carvao-mineral-para-usinas-termeletricas-mocca/)

## Categorias
- [PSR Climate](https://www.psr-inc.com/pt-br/category/psr-climate/)
- [Energia em Foco](https://www.psr-inc.com/pt-br/category/energia-em-foco/)

## Anos das edições
- [2023](https://www.psr-inc.com/pt-br/ano-da-edicao/2023/)
- [2008](https://www.psr-inc.com/pt-br/ano-da-edicao/2008/)
- [2009](https://www.psr-inc.com/pt-br/ano-da-edicao/2009/)
- [2010](https://www.psr-inc.com/pt-br/ano-da-edicao/2010/)
- [2011](https://www.psr-inc.com/pt-br/ano-da-edicao/2011/)

## Anos de Publicação
- [2022](https://www.psr-inc.com/pt-br/ano-de-publicacao/2022/)
- [2019](https://www.psr-inc.com/pt-br/ano-de-publicacao/2019/)
- [2017](https://www.psr-inc.com/pt-br/ano-de-publicacao/2017/)
- [2016](https://www.psr-inc.com/pt-br/ano-de-publicacao/2016/)
- [2025](https://www.psr-inc.com/pt-br/ano-de-publicacao/2025/)

## Categorias de equipe
- [Consultoria](https://www.psr-inc.com/pt-br/categoria-de-equipe/consultoria/)
- [Analytics](https://www.psr-inc.com/pt-br/categoria-de-equipe/analytics/)
- [Backoffice](https://www.psr-inc.com/pt-br/categoria-de-equipe/backoffice/)
- [Diretoria Técnica](https://www.psr-inc.com/pt-br/categoria-de-equipe/diretoria-tecnica/)
- [Diretoria Executiva](https://www.psr-inc.com/pt-br/categoria-de-equipe/diretoria-executiva/)

## Categorias de produção científica
- [Tese de Mestrado](https://www.psr-inc.com/pt-br/categoria-de-producao-cientifica/tese-de-mestrado/)
- [Relatório](https://www.psr-inc.com/pt-br/categoria-de-producao-cientifica/relatorio/)
- [Conferência](https://www.psr-inc.com/pt-br/categoria-de-producao-cientifica/conferencia/)
- [Revista](https://www.psr-inc.com/pt-br/categoria-de-producao-cientifica/revista/)
- [Monografia de Graduação](https://www.psr-inc.com/pt-br/categoria-de-producao-cientifica/monografia-de-graduacao/)

## Categorias de projetos PD\&I
- [Previsão e Análise de Dados](https://www.psr-inc.com/pt-br/categoria-de-projeto-pdi/previsao-e-analise-de-dados/)
- [Otimização de Sistemas e Cadeias de Suprimentos](https://www.psr-inc.com/pt-br/categoria-de-projeto-pdi/otimizacao-de-sistemas-e-cadeias-de-suprimentos/)
- [Simulação e Gêmeos Digitais](https://www.psr-inc.com/pt-br/categoria-de-projeto-pdi/simulacao-e-gemeos-digitais/)
- [Logística de Combustíveis e Energia](https://www.psr-inc.com/pt-br/categoria-de-projeto-pdi/logistica-de-combustiveis-e-energia/)

## Categorias do Analytics Report
- [inSight](https://www.psr-inc.com/pt-br/analytics-report/categoria/insight/)
- [inDepth](https://www.psr-inc.com/pt-br/analytics-report/categoria/indepth/)
- [inBrief](https://www.psr-inc.com/pt-br/analytics-report/categoria/inbrief/)
- [Especial](https://www.psr-inc.com/pt-br/analytics-report/categoria/especial/)
- [inNovation](https://www.psr-inc.com/pt-br/analytics-report/categoria/innovation/)

## Meios de comunicação
- [MSC PUC\-RIO](https://www.psr-inc.com/pt-br/meio-de-comunicacao/msc-puc-rio/)
- [MSC UFRJ](https://www.psr-inc.com/pt-br/meio-de-comunicacao/msc-ufrj/)
- [BSC UFRJ](https://www.psr-inc.com/pt-br/meio-de-comunicacao/bsc-ufrj/)
- [XXVI SNPTEE](https://www.psr-inc.com/pt-br/meio-de-comunicacao/xxvi-snptee/)
- [ScienceDirect](https://www.psr-inc.com/pt-br/meio-de-comunicacao/sciencedirect/)

## Meses das edições
- [Dezembro](https://www.psr-inc.com/pt-br/mes-da-edicao/dezembro/)
- [Janeiro](https://www.psr-inc.com/pt-br/mes-da-edicao/janeiro/)
- [Junho](https://www.psr-inc.com/pt-br/mes-da-edicao/junho/)
- [Maio](https://www.psr-inc.com/pt-br/mes-da-edicao/maio/)
- [Abril](https://www.psr-inc.com/pt-br/mes-da-edicao/abril/)

## Paises
- [Brasil](https://www.psr-inc.com/pt-br/pais/brasil/)
- [Estados Unidos](https://www.psr-inc.com/pt-br/pais/estados-unidos/)
- [Espanha](https://www.psr-inc.com/pt-br/pais/espanha/)
- [Colômbia](https://www.psr-inc.com/pt-br/pais/colombia/)
- [Panamá](https://www.psr-inc.com/pt-br/pais/panama/)

## Setores dos clientes
- [Geradores](https://www.psr-inc.com/pt-br/setor-do-cliente/geradores/)
- [Bancos / Fundos](https://www.psr-inc.com/pt-br/setor-do-cliente/bancos-fundos/)
- [Investidores](https://www.psr-inc.com/pt-br/setor-do-cliente/investidores/)
- [Operadores e Reguladores](https://www.psr-inc.com/pt-br/setor-do-cliente/operadores-e-reguladores/)
- [Distribuidoras](https://www.psr-inc.com/pt-br/setor-do-cliente/distribuidoras/)

## Optional
- [Sitemap index](https://www.psr-inc.com/pt-br/sitemap_index.xml)