{"id":75101,"date":"2026-09-02T13:42:43","date_gmt":"2026-09-02T18:42:43","guid":{"rendered":"https:\/\/colombiainteligente.org\/?p=75101"},"modified":"2026-09-02T13:45:01","modified_gmt":"2026-09-02T18:45:01","slug":"grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration","status":"publish","type":"post","link":"https:\/\/colombiainteligente.org\/es_co\/tendencias\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\/","title":{"rendered":"Grid-Interactive Hyperscale Data Centers: Deep Reinforcement Learning for Joint Workload\u2013Cooling Scheduling to Enable Demand Response and Renewable Integration"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"75101\" class=\"elementor elementor-75101\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-87c6aa2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"87c6aa2\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-558bb819\" data-id=\"558bb819\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3067325c elementor-widget elementor-widget-text-editor\" data-id=\"3067325c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.14.0 - 26-06-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p lang=\"en-US\">El art\u00edculo, publicado en EAI Endorsed Transactions on Energy Web, aborda un problema t\u00e9cnico central para la transici\u00f3n energ\u00e9tica actual, c\u00f3mo transformar los centros de datos hiperescalables, uno de los tipos de carga el\u00e9ctrica de m\u00e1s r\u00e1pido crecimiento a nivel mundial, en activos flexibles capaces de aportar a la operaci\u00f3n confiable del sistema el\u00e9ctrico en lugar de representar \u00fanicamente una presi\u00f3n adicional sobre la red. El autor parte de un diagn\u00f3stico t\u00e9cnico preciso: los dos principales mecanismos de control disponibles en un centro de datos, la programaci\u00f3n de la carga computacional de TI y la operaci\u00f3n del sistema de enfriamiento, se han gestionado tradicionalmente de forma desacoplada, lo que deja subutilizado tanto el potencial de eficiencia energ\u00e9tica como la capacidad de flexibilidad del lado de la demanda.<br \/><br \/>Para resolver esta limitaci\u00f3n, el estudio propone un marco de aprendizaje por refuerzo profundo que co-programa de manera conjunta los recursos computacionales y t\u00e9rmicos de la instalaci\u00f3n, permitiendo que el centro de datos opere como una carga flexible interactiva con la red. Metodol\u00f3gicamente, el problema se formula como un proceso de decisi\u00f3n de Markov con restricciones, y se desarrolla un algoritmo actor-cr\u00edtico que combina la t\u00e9cnica de gradiente de pol\u00edtica determin\u00edstica profunda con un mecanismo de seguridad tipo \u00absafety shield\u00bb, dise\u00f1ado espec\u00edficamente para garantizar el cumplimiento de restricciones t\u00e9rmicas tanto durante el entrenamiento del modelo como durante su operaci\u00f3n real. Para validar el enfoque sin comprometer la operaci\u00f3n f\u00edsica de la instalaci\u00f3n, el autor construye un entorno de simulaci\u00f3n de gemelo digital de alta fidelidad, que habilita un proceso de entrenamiento seguro previo a cualquier despliegue en condiciones reales, siguiendo un esquema de transferencia de simulaci\u00f3n a realidad.<br \/><br \/>Los resultados experimentales reportados son sustanciales desde el punto de vista t\u00e9cnico y operativo. El enfoque propuesto logra reducciones de consumo el\u00e9ctrico total de entre 18% y 25% frente a controladores convencionales de referencia, disminuye en m\u00e1s de 90% las violaciones de restricciones t\u00e9rmicas del sistema de enfriamiento, y mantiene el cumplimiento de los acuerdos de nivel de servicio comprometidos con los usuarios del centro de datos. Adicionalmente, el marco propuesto ampl\u00eda el rango de potencia controlable de la instalaci\u00f3n, generando una base t\u00e9cnica concreta para que estos centros participen en programas formales de respuesta de la demanda y para que sus perfiles de consumo se alineen de forma m\u00e1s eficiente con los patrones de generaci\u00f3n renovable variable, como la solar y la e\u00f3lica.<br \/><br \/>Un aporte conceptual relevante del art\u00edculo es la manera en que integra el control del lado de tecnolog\u00edas de la informaci\u00f3n con el control del lado de las instalaciones f\u00edsicas, dos dominios que en la pr\u00e1ctica operativa suelen gestionarse por equipos y sistemas separados. Al unificar ambos bajo un mismo esquema de decisi\u00f3n, el estudio sustenta la evoluci\u00f3n de los centros de datos hiperescalables desde consumidores pasivos de electricidad hacia participantes activos e interactivos con la red, dentro de sistemas el\u00e9ctricos con creciente penetraci\u00f3n de energ\u00edas renovables.<br \/><br \/>Para el sector el\u00e9ctrico colombiano y para la alianza estrat\u00e9gica de redes inteligentes, este estudio resulta particularmente pertinente en el contexto actual de crecimiento acelerado de infraestructura digital asociada a inteligencia artificial y computaci\u00f3n en la nube. Ofrece evidencia t\u00e9cnica reproducible de que los centros de datos, lejos de constituir exclusivamente un reto de planeaci\u00f3n de capacidad para los operadores de red, pueden dise\u00f1arse e integrarse como recursos energ\u00e9ticos distribuidos controlables, capaces de aportar flexibilidad operativa al sistema. Esto resulta directamente relevante para el dise\u00f1o de mecanismos de respuesta de la demanda, la definici\u00f3n de tarifas o incentivos para grandes cargas flexibles, y la planeaci\u00f3n de la integraci\u00f3n de renovables en un contexto donde la llegada de centros de datos a gran escala plantea simult\u00e1neamente un reto y una oportunidad para la operaci\u00f3n del sistema el\u00e9ctrico nacional.<\/p><p align=\"justify\"><span style=\"color: #800000;\"><b>Para leer m\u00e1s ingrese a:<\/b><\/span><\/p><p><a href=\"https:\/\/publications.eai.eu\/index.php\/ew\/article\/view\/14440\/4239\">https:\/\/publications.eai.eu\/index.php\/ew\/article\/view\/14440\/4239<\/a><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t<div style=\"text-align:center\" class=\"yasr-auto-insert-visitor\"><\/div>","protected":false},"excerpt":{"rendered":"<p>El art\u00edculo propone un marco de aprendizaje por refuerzo profundo que coordina de forma conjunta la programaci\u00f3n de carga computacional y el sistema de enfriamiento en centros de datos hiperescalables, con el prop\u00f3sito de convertirlos en cargas flexibles capaces de participar activamente en programas de respuesta de la demanda e integraci\u00f3n de energ\u00eda renovable variable. El problema se formula como un proceso de decisi\u00f3n de Markov con restricciones, resuelto mediante un algoritmo actor-cr\u00edtico que combina gradiente de pol\u00edtica determin\u00edstica profunda con un mecanismo de seguridad que garantiza el cumplimiento de restricciones t\u00e9rmicas durante el entrenamiento y la operaci\u00f3n. La validaci\u00f3n se realiza sobre un entorno de gemelo digital de alta fidelidad, que permite un entrenamiento seguro antes de la implementaci\u00f3n real. Los experimentos reportan reducciones de consumo el\u00e9ctrico total entre 18% y 25% frente a controladores convencionales, una disminuci\u00f3n superior al 90% en violaciones t\u00e9rmicas y mantenimiento del cumplimiento de acuerdos de nivel de servicio, ampliando adem\u00e1s el rango de potencia controlable de la instalaci\u00f3n. Para el sector el\u00e9ctrico colombiano, el estudio ofrece evidencia t\u00e9cnica de que los centros de datos, lejos de ser \u00fanicamente cargas pasivas de creciente magnitud, pueden convertirse en recursos activos y controlables dentro de la operaci\u00f3n del sistema el\u00e9ctrico, con aplicaci\u00f3n directa en la integraci\u00f3n de renovables y en esquemas de gesti\u00f3n de demanda frente al crecimiento acelerado de infraestructura digital e inteligencia artificial.<\/p>","protected":false},"author":23,"featured_media":75102,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"yasr_overall_rating":0,"yasr_post_is_review":"","yasr_auto_insert_disabled":"","yasr_review_type":"","footnotes":""},"categories":[55,53],"tags":[],"class_list":["post-75101","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-digitalizacion","category-tendencias"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Grid-Interactive Hyperscale Data Centers: Deep Reinforcement Learning for Joint Workload\u2013Cooling Scheduling to Enable Demand Response and Renewable Integration - Colombia Inteligente<\/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:\/\/colombiainteligente.org\/es_co\/tendencias\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Grid-Interactive Hyperscale Data Centers: Deep Reinforcement Learning for Joint Workload\u2013Cooling Scheduling to Enable Demand Response and Renewable Integration - Colombia Inteligente\" \/>\n<meta property=\"og:description\" content=\"El art\u00edculo propone un marco de aprendizaje por refuerzo profundo que coordina de forma conjunta la programaci\u00f3n de carga computacional y el sistema de enfriamiento en centros de datos hiperescalables, con el prop\u00f3sito de convertirlos en cargas flexibles capaces de participar activamente en programas de respuesta de la demanda e integraci\u00f3n de energ\u00eda renovable variable. El problema se formula como un proceso de decisi\u00f3n de Markov con restricciones, resuelto mediante un algoritmo actor-cr\u00edtico que combina gradiente de pol\u00edtica determin\u00edstica profunda con un mecanismo de seguridad que garantiza el cumplimiento de restricciones t\u00e9rmicas durante el entrenamiento y la operaci\u00f3n. La validaci\u00f3n se realiza sobre un entorno de gemelo digital de alta fidelidad, que permite un entrenamiento seguro antes de la implementaci\u00f3n real. Los experimentos reportan reducciones de consumo el\u00e9ctrico total entre 18% y 25% frente a controladores convencionales, una disminuci\u00f3n superior al 90% en violaciones t\u00e9rmicas y mantenimiento del cumplimiento de acuerdos de nivel de servicio, ampliando adem\u00e1s el rango de potencia controlable de la instalaci\u00f3n. Para el sector el\u00e9ctrico colombiano, el estudio ofrece evidencia t\u00e9cnica de que los centros de datos, lejos de ser \u00fanicamente cargas pasivas de creciente magnitud, pueden convertirse en recursos activos y controlables dentro de la operaci\u00f3n del sistema el\u00e9ctrico, con aplicaci\u00f3n directa en la integraci\u00f3n de renovables y en esquemas de gesti\u00f3n de demanda frente al crecimiento acelerado de infraestructura digital e inteligencia artificial.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/colombiainteligente.org\/es_co\/tendencias\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\/\" \/>\n<meta property=\"og:site_name\" content=\"Colombia Inteligente\" \/>\n<meta property=\"article:published_time\" content=\"2026-09-02T18:42:43+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-02T18:45:01+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/colombiainteligente.org\/wp-content\/uploads\/2026\/09\/6-Digitalizacion-4700926.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1010\" \/>\n\t<meta property=\"og:image:height\" content=\"1426\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"DIFUSI\u00d3N COLOMBIA INTELIGENTE\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@colombiaintelig\" \/>\n<meta name=\"twitter:site\" content=\"@colombiaintelig\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"DIFUSI\u00d3N COLOMBIA INTELIGENTE\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tiempo estimado de lectura\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/tendencias\\\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/tendencias\\\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\\\/\"},\"author\":{\"name\":\"DIFUSI\u00d3N COLOMBIA INTELIGENTE\",\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/#\\\/schema\\\/person\\\/e207145d548b75a6d339ff1d4d3b0432\"},\"headline\":\"Grid-Interactive Hyperscale Data Centers: Deep Reinforcement Learning for Joint Workload\u2013Cooling Scheduling to Enable Demand Response and Renewable Integration\",\"datePublished\":\"2026-09-02T18:42:43+00:00\",\"dateModified\":\"2026-09-02T18:45:01+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/tendencias\\\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\\\/\"},\"wordCount\":722,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/tendencias\\\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/colombiainteligente.org\\\/wp-content\\\/uploads\\\/2026\\\/09\\\/6-Digitalizacion-4700926.png\",\"articleSection\":[\"Digitalizaci\u00f3n\",\"Tendencias\"],\"inLanguage\":\"es-CO\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/colombiainteligente.org\\\/tendencias\\\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/tendencias\\\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\\\/\",\"url\":\"https:\\\/\\\/colombiainteligente.org\\\/tendencias\\\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\\\/\",\"name\":\"Grid-Interactive Hyperscale Data Centers: Deep Reinforcement Learning for Joint Workload\u2013Cooling Scheduling to Enable Demand Response and Renewable Integration - Colombia Inteligente\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/tendencias\\\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/tendencias\\\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/colombiainteligente.org\\\/wp-content\\\/uploads\\\/2026\\\/09\\\/6-Digitalizacion-4700926.png\",\"datePublished\":\"2026-09-02T18:42:43+00:00\",\"dateModified\":\"2026-09-02T18:45:01+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/tendencias\\\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\\\/#breadcrumb\"},\"inLanguage\":\"es-CO\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/colombiainteligente.org\\\/tendencias\\\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"es-CO\",\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/tendencias\\\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\\\/#primaryimage\",\"url\":\"https:\\\/\\\/colombiainteligente.org\\\/wp-content\\\/uploads\\\/2026\\\/09\\\/6-Digitalizacion-4700926.png\",\"contentUrl\":\"https:\\\/\\\/colombiainteligente.org\\\/wp-content\\\/uploads\\\/2026\\\/09\\\/6-Digitalizacion-4700926.png\",\"width\":1010,\"height\":1426},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/tendencias\\\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Portada\",\"item\":\"https:\\\/\\\/colombiainteligente.org\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Grid-Interactive Hyperscale Data Centers: Deep Reinforcement Learning for Joint Workload\u2013Cooling Scheduling to Enable Demand Response and Renewable Integration\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/#website\",\"url\":\"https:\\\/\\\/colombiainteligente.org\\\/\",\"name\":\"Colombia Inteligente\",\"description\":\"Alianza estrat\u00e9gica, conformada por empresas y entidades, para la inserci\u00f3n integral y eficiente de las redes inteligentes a la infraestructura del sector el\u00e9ctrico colombiano\",\"publisher\":{\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/colombiainteligente.org\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"es-CO\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/#organization\",\"name\":\"Colombia Inteligente\",\"url\":\"https:\\\/\\\/colombiainteligente.org\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es-CO\",\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/colombiainteligente.org\\\/wp-content\\\/uploads\\\/2022\\\/07\\\/Image.png\",\"contentUrl\":\"https:\\\/\\\/colombiainteligente.org\\\/wp-content\\\/uploads\\\/2022\\\/07\\\/Image.png\",\"width\":588,\"height\":274,\"caption\":\"Colombia Inteligente\"},\"image\":{\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/x.com\\\/colombiaintelig\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/colombiainteligente\\\/\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/colombiainteligente.org\\\/#\\\/schema\\\/person\\\/e207145d548b75a6d339ff1d4d3b0432\",\"name\":\"DIFUSI\u00d3N COLOMBIA INTELIGENTE\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es-CO\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/df2e679ff2abf288cf4bf58830dad897e596908105ec8969f50f748a6d837869?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/df2e679ff2abf288cf4bf58830dad897e596908105ec8969f50f748a6d837869?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/df2e679ff2abf288cf4bf58830dad897e596908105ec8969f50f748a6d837869?s=96&d=mm&r=g\",\"caption\":\"DIFUSI\u00d3N COLOMBIA INTELIGENTE\"},\"url\":\"https:\\\/\\\/colombiainteligente.org\\\/es_co\\\/author\\\/difusioncolombiainteligente-org\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Grid-Interactive Hyperscale Data Centers: Deep Reinforcement Learning for Joint Workload\u2013Cooling Scheduling to Enable Demand Response and Renewable Integration - Colombia Inteligente","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/colombiainteligente.org\/es_co\/tendencias\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\/","og_locale":"es_ES","og_type":"article","og_title":"Grid-Interactive Hyperscale Data Centers: Deep Reinforcement Learning for Joint Workload\u2013Cooling Scheduling to Enable Demand Response and Renewable Integration - Colombia Inteligente","og_description":"El art\u00edculo propone un marco de aprendizaje por refuerzo profundo que coordina de forma conjunta la programaci\u00f3n de carga computacional y el sistema de enfriamiento en centros de datos hiperescalables, con el prop\u00f3sito de convertirlos en cargas flexibles capaces de participar activamente en programas de respuesta de la demanda e integraci\u00f3n de energ\u00eda renovable variable. El problema se formula como un proceso de decisi\u00f3n de Markov con restricciones, resuelto mediante un algoritmo actor-cr\u00edtico que combina gradiente de pol\u00edtica determin\u00edstica profunda con un mecanismo de seguridad que garantiza el cumplimiento de restricciones t\u00e9rmicas durante el entrenamiento y la operaci\u00f3n. La validaci\u00f3n se realiza sobre un entorno de gemelo digital de alta fidelidad, que permite un entrenamiento seguro antes de la implementaci\u00f3n real. Los experimentos reportan reducciones de consumo el\u00e9ctrico total entre 18% y 25% frente a controladores convencionales, una disminuci\u00f3n superior al 90% en violaciones t\u00e9rmicas y mantenimiento del cumplimiento de acuerdos de nivel de servicio, ampliando adem\u00e1s el rango de potencia controlable de la instalaci\u00f3n. Para el sector el\u00e9ctrico colombiano, el estudio ofrece evidencia t\u00e9cnica de que los centros de datos, lejos de ser \u00fanicamente cargas pasivas de creciente magnitud, pueden convertirse en recursos activos y controlables dentro de la operaci\u00f3n del sistema el\u00e9ctrico, con aplicaci\u00f3n directa en la integraci\u00f3n de renovables y en esquemas de gesti\u00f3n de demanda frente al crecimiento acelerado de infraestructura digital e inteligencia artificial.","og_url":"https:\/\/colombiainteligente.org\/es_co\/tendencias\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\/","og_site_name":"Colombia Inteligente","article_published_time":"2026-09-02T18:42:43+00:00","article_modified_time":"2026-09-02T18:45:01+00:00","og_image":[{"width":1010,"height":1426,"url":"https:\/\/colombiainteligente.org\/wp-content\/uploads\/2026\/09\/6-Digitalizacion-4700926.png","type":"image\/png"}],"author":"DIFUSI\u00d3N COLOMBIA INTELIGENTE","twitter_card":"summary_large_image","twitter_creator":"@colombiaintelig","twitter_site":"@colombiaintelig","twitter_misc":{"Escrito por":"DIFUSI\u00d3N COLOMBIA INTELIGENTE","Tiempo estimado de lectura":"3 minutos"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/colombiainteligente.org\/tendencias\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\/#article","isPartOf":{"@id":"https:\/\/colombiainteligente.org\/tendencias\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\/"},"author":{"name":"DIFUSI\u00d3N COLOMBIA INTELIGENTE","@id":"https:\/\/colombiainteligente.org\/#\/schema\/person\/e207145d548b75a6d339ff1d4d3b0432"},"headline":"Grid-Interactive Hyperscale Data Centers: Deep Reinforcement Learning for Joint Workload\u2013Cooling Scheduling to Enable Demand Response and Renewable Integration","datePublished":"2026-09-02T18:42:43+00:00","dateModified":"2026-09-02T18:45:01+00:00","mainEntityOfPage":{"@id":"https:\/\/colombiainteligente.org\/tendencias\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\/"},"wordCount":722,"commentCount":0,"publisher":{"@id":"https:\/\/colombiainteligente.org\/#organization"},"image":{"@id":"https:\/\/colombiainteligente.org\/tendencias\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\/#primaryimage"},"thumbnailUrl":"https:\/\/colombiainteligente.org\/wp-content\/uploads\/2026\/09\/6-Digitalizacion-4700926.png","articleSection":["Digitalizaci\u00f3n","Tendencias"],"inLanguage":"es-CO","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/colombiainteligente.org\/tendencias\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/colombiainteligente.org\/tendencias\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\/","url":"https:\/\/colombiainteligente.org\/tendencias\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\/","name":"Grid-Interactive Hyperscale Data Centers: Deep Reinforcement Learning for Joint Workload\u2013Cooling Scheduling to Enable Demand Response and Renewable Integration - Colombia Inteligente","isPartOf":{"@id":"https:\/\/colombiainteligente.org\/#website"},"primaryImageOfPage":{"@id":"https:\/\/colombiainteligente.org\/tendencias\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\/#primaryimage"},"image":{"@id":"https:\/\/colombiainteligente.org\/tendencias\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\/#primaryimage"},"thumbnailUrl":"https:\/\/colombiainteligente.org\/wp-content\/uploads\/2026\/09\/6-Digitalizacion-4700926.png","datePublished":"2026-09-02T18:42:43+00:00","dateModified":"2026-09-02T18:45:01+00:00","breadcrumb":{"@id":"https:\/\/colombiainteligente.org\/tendencias\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\/#breadcrumb"},"inLanguage":"es-CO","potentialAction":[{"@type":"ReadAction","target":["https:\/\/colombiainteligente.org\/tendencias\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\/"]}]},{"@type":"ImageObject","inLanguage":"es-CO","@id":"https:\/\/colombiainteligente.org\/tendencias\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\/#primaryimage","url":"https:\/\/colombiainteligente.org\/wp-content\/uploads\/2026\/09\/6-Digitalizacion-4700926.png","contentUrl":"https:\/\/colombiainteligente.org\/wp-content\/uploads\/2026\/09\/6-Digitalizacion-4700926.png","width":1010,"height":1426},{"@type":"BreadcrumbList","@id":"https:\/\/colombiainteligente.org\/tendencias\/grid-interactive-hyperscale-data-centers-deep-reinforcement-learning-for-joint-workload-cooling-scheduling-to-enable-demand-response-and-renewable-integration\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Portada","item":"https:\/\/colombiainteligente.org\/"},{"@type":"ListItem","position":2,"name":"Grid-Interactive Hyperscale Data Centers: Deep Reinforcement Learning for Joint Workload\u2013Cooling Scheduling to Enable Demand Response and Renewable Integration"}]},{"@type":"WebSite","@id":"https:\/\/colombiainteligente.org\/#website","url":"https:\/\/colombiainteligente.org\/","name":"Colombia Inteligente","description":"Alianza estrat\u00e9gica, conformada por empresas y entidades, para la inserci\u00f3n integral y eficiente de las redes inteligentes a la infraestructura del sector el\u00e9ctrico colombiano","publisher":{"@id":"https:\/\/colombiainteligente.org\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/colombiainteligente.org\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"es-CO"},{"@type":"Organization","@id":"https:\/\/colombiainteligente.org\/#organization","name":"Colombia Inteligente","url":"https:\/\/colombiainteligente.org\/","logo":{"@type":"ImageObject","inLanguage":"es-CO","@id":"https:\/\/colombiainteligente.org\/#\/schema\/logo\/image\/","url":"https:\/\/colombiainteligente.org\/wp-content\/uploads\/2022\/07\/Image.png","contentUrl":"https:\/\/colombiainteligente.org\/wp-content\/uploads\/2022\/07\/Image.png","width":588,"height":274,"caption":"Colombia Inteligente"},"image":{"@id":"https:\/\/colombiainteligente.org\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/colombiaintelig","https:\/\/www.linkedin.com\/company\/colombiainteligente\/"]},{"@type":"Person","@id":"https:\/\/colombiainteligente.org\/#\/schema\/person\/e207145d548b75a6d339ff1d4d3b0432","name":"DIFUSI\u00d3N COLOMBIA INTELIGENTE","image":{"@type":"ImageObject","inLanguage":"es-CO","@id":"https:\/\/secure.gravatar.com\/avatar\/df2e679ff2abf288cf4bf58830dad897e596908105ec8969f50f748a6d837869?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/df2e679ff2abf288cf4bf58830dad897e596908105ec8969f50f748a6d837869?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/df2e679ff2abf288cf4bf58830dad897e596908105ec8969f50f748a6d837869?s=96&d=mm&r=g","caption":"DIFUSI\u00d3N COLOMBIA INTELIGENTE"},"url":"https:\/\/colombiainteligente.org\/es_co\/author\/difusioncolombiainteligente-org\/"}]}},"yasr_visitor_votes":{"number_of_votes":0,"sum_votes":0,"stars_attributes":{"read_only":false,"span_bottom":false}},"_links":{"self":[{"href":"https:\/\/colombiainteligente.org\/es_co\/wp-json\/wp\/v2\/posts\/75101","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/colombiainteligente.org\/es_co\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/colombiainteligente.org\/es_co\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/colombiainteligente.org\/es_co\/wp-json\/wp\/v2\/users\/23"}],"replies":[{"embeddable":true,"href":"https:\/\/colombiainteligente.org\/es_co\/wp-json\/wp\/v2\/comments?post=75101"}],"version-history":[{"count":7,"href":"https:\/\/colombiainteligente.org\/es_co\/wp-json\/wp\/v2\/posts\/75101\/revisions"}],"predecessor-version":[{"id":75110,"href":"https:\/\/colombiainteligente.org\/es_co\/wp-json\/wp\/v2\/posts\/75101\/revisions\/75110"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/colombiainteligente.org\/es_co\/wp-json\/wp\/v2\/media\/75102"}],"wp:attachment":[{"href":"https:\/\/colombiainteligente.org\/es_co\/wp-json\/wp\/v2\/media?parent=75101"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/colombiainteligente.org\/es_co\/wp-json\/wp\/v2\/categories?post=75101"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/colombiainteligente.org\/es_co\/wp-json\/wp\/v2\/tags?post=75101"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}