{"id":12177,"date":"2022-09-12T11:42:36","date_gmt":"2022-09-12T11:42:36","guid":{"rendered":"https:\/\/projectsofar.info\/aisuperior\/?post_type=blog&p=12177"},"modified":"2023-12-07T16:57:04","modified_gmt":"2023-12-07T16:57:04","slug":"how-ai-is-transforming-the-future-of-renewable-energy","status":"publish","type":"blog","link":"https:\/\/aisuperior.com\/es\/blog\/how-ai-is-transforming-the-future-of-renewable-energy\/","title":{"rendered":"C\u00f3mo la inteligencia artificial est\u00e1 transformando el futuro de las energ\u00edas renovables"},"content":{"rendered":"

A medida que la demanda mundial de energ\u00eda contin\u00faa aumentando, el sector energ\u00e9tico se enfrenta a un desaf\u00edo \u00fanico. Adem\u00e1s de satisfacer la creciente demanda global, debe alcanzar los hitos que nos ayudar\u00e1n a lograr un futuro de emisiones netas cero. Seg\u00fan datos de noviembre de 2021, 193 pa\u00edses de la Convenci\u00f3n Marco de las Naciones Unidas sobre el Cambio Clim\u00e1tico (CMNUCC) son partes del Acuerdo de Par\u00eds.<\/p>\n

La energ\u00eda renovable es la \u00fanica soluci\u00f3n sostenible para satisfacer nuestras demandas energ\u00e9ticas y al mismo tiempo reducir las emisiones. Sin embargo, existen m\u00faltiples desaf\u00edos para adoptarlo, lo que nos lleva al tema de esta publicaci\u00f3n. La Inteligencia Artificial tiene el potencial de abordar algunos de los desaf\u00edos clave de la energ\u00eda renovable para allanar el camino hacia un futuro neutral en emisiones. Los modelos de predicci\u00f3n basados en IA, como el programa de IBM para la Iniciativa SunShot del Departamento de Energ\u00eda de EE. UU., son un modelo de autoaprendizaje que mejora su precisi\u00f3n con el tiempo, ya que tiene acceso a conjuntos de datos m\u00e1s grandes.<\/p>\n

Previsi\u00f3n de generaci\u00f3n<\/h2>\n

El sol, el viento y el agua son las tres principales fuentes de energ\u00eda renovable para abandonar los combustibles f\u00f3siles. Estos est\u00e1n disponibles en abundancia y son relativamente f\u00e1ciles de aprovechar. Sin embargo, hay un elemento de imprevisibilidad asociado a cada uno de ellos. Estos dependen del clima, que est\u00e1 fuera de nuestro control. La adopci\u00f3n de la Inteligencia Artificial en la gesti\u00f3n de la energ\u00eda puede ayudar a leer datos hist\u00f3ricos y par\u00e1metros meteorol\u00f3gicos actuales para pronosticar la generaci\u00f3n futura. Durante los per\u00edodos de alta disponibilidad, los operadores pueden abastecer a toda la base de clientes a trav\u00e9s de energ\u00edas renovables. Cuando no hay disponibilidad suficiente para satisfacer la demanda esperada, pueden trasladar una parte de la carga a la generaci\u00f3n basada en f\u00f3siles para mantener un suministro estable.<\/p>\n

Previsi\u00f3n de la demanda<\/h2>\n

Las empresas de distribuci\u00f3n de energ\u00eda utilizan las tendencias hist\u00f3ricas de la demanda para predecir la demanda esperada. A pesar de ser \u00fatil, este modelo es propenso a errores porque no tiene en cuenta los datos actuales (clima, im\u00e1genes satelitales, velocidad del viento, intensidad solar, sensores, etc.). Dada la imprevisibilidad del clima, la disponibilidad de luz solar y la velocidad del viento, es crucial combinar datos pasados con par\u00e1metros presentes antes de predecir la demanda esperada. La IA puede procesar grandes cantidades de datos complejos y desarrollar algoritmos m\u00e1s precisos para pronosticar tendencias de demanda precisas para las pr\u00f3ximas horas.<\/p>\n

Gesti\u00f3n de red<\/h2>\n

Las redes el\u00e9ctricas son la columna vertebral de la infraestructura energ\u00e9tica. Los algoritmos de inteligencia artificial pueden aprovechar grandes conjuntos de datos para conocer los patrones de carga y garantizar una utilizaci\u00f3n \u00f3ptima. Las redes pueden adaptarse a las previsiones de generaci\u00f3n y demanda de carga para proporcionar una mayor confiabilidad y al mismo tiempo mantener los costos bajos. A medida que los gobiernos incentivan la adopci\u00f3n de energ\u00eda solar para los consumidores dom\u00e9sticos y comerciales, las redes se est\u00e1n volviendo bidireccionales. La IA puede permitir que diferentes componentes del sistema el\u00e9ctrico se comuniquen entre s\u00ed y eviten la congesti\u00f3n.<\/p>\n

Mantenimiento de infraestructura<\/h2>\n

Las redes el\u00e9ctricas son una red compleja de componentes el\u00e9ctricos y su mal funcionamiento es s\u00f3lo cuesti\u00f3n de tiempo. Las crisis repentinas consumen mucho tiempo y la perturbaci\u00f3n resultante causa p\u00e9rdidas a la econom\u00eda. Los sistemas habilitados para IA pueden proporcionar datos en tiempo real sobre el estado general de la red y predecir qu\u00e9 partes de la red tienen m\u00e1s probabilidades de fallar. Los operadores pueden utilizar estos datos para realizar mantenimiento preventivo en momentos de baja demanda. Se puede alertar a los clientes con anticipaci\u00f3n para garantizar que haya una interrupci\u00f3n m\u00ednima.<\/p>\n

Excelencia operativa impulsada por la automatizaci\u00f3n<\/h2>\n

El pron\u00f3stico preciso de la demanda, la generaci\u00f3n de energ\u00eda flexible, la transmisi\u00f3n eficiente de energ\u00eda a trav\u00e9s de una red saludable y la distribuci\u00f3n son algunas de las partes m\u00f3viles clave de un sistema el\u00e9ctrico. Es una red compleja que requiere una toma de decisiones r\u00e1pida y precisa. Las computadoras modernas son mejores que los humanos a la hora de absorber grandes cantidades de datos y tomar decisiones basadas en reglas. Las capacidades de autoaprendizaje de la Inteligencia Artificial hacen que las computadoras sean mucho m\u00e1s eficientes que los operadores cuando se trata de monitorear el estado de la red y mantener una infraestructura el\u00e9ctrica confiable. Una red el\u00e9ctrica que funcione con su m\u00e1xima eficiencia es una situaci\u00f3n beneficiosa para todas las partes interesadas.<\/p>\n

La integraci\u00f3n de la Inteligencia Artificial en el sector de las energ\u00edas renovables tiene el potencial de resolver una multitud de problemas existentes que afectan a la industria. Sin embargo, es m\u00e1s f\u00e1cil decirlo que hacerlo. Necesita un socio de confianza para garantizar una transici\u00f3n exitosa.<\/p>\n

Inteligencia artificial de AI Superior\u00a0servicios de consultor\u00eda\u00a0<\/a>Ofrecemos soluciones personalizadas para evaluar sus necesidades y formular una estrategia adecuada de gesti\u00f3n del cambio. Entendemos que cada problema es \u00fanico y la complejidad del sector de las energ\u00edas renovables exige soluciones de IA personalizadas. Ya sea que a\u00fan no haya comenzado su viaje digital o que est\u00e9 a mitad de camino, podemos ayudarlo a dar el siguiente paso hacia la excelencia operativa. Para las empresas que se inician en el camino de la digitalizaci\u00f3n, ofrecemos una estrategia de datos personalizada para recopilar y organizar sus datos para almacenarlos de forma segura, limpiarlos y prepararlos para el an\u00e1lisis. Luego lo ayudamos a optimizar los procesos existentes utilizando los datos que ya ten\u00eda pero que no sab\u00eda c\u00f3mo utilizar de manera efectiva. Finalmente, lo llevamos a trav\u00e9s del viaje de madurez digital donde se implementar\u00e1n IA, redes neuronales avanzadas y t\u00e9cnicas de simulaci\u00f3n para generar ganancias.<\/p>","protected":false},"excerpt":{"rendered":"

As the world\u2019s power demand continues to soar, the energy sector is staring at a unique challenge. In addition to meeting increasing global demand, it must achieve the milestones that\u2019ll help us achieve a future of net-zero emission. According to November 2021 data, 193 countries of the United Nations Framework Convention on Climate Change (UNFCCC) […]<\/p>\n","protected":false},"featured_media":12178,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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