{"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\/fr\/blog\/how-ai-is-transforming-the-future-of-renewable-energy\/","title":{"rendered":"Comment l\u2019intelligence artificielle transforme l\u2019avenir des \u00e9nergies renouvelables"},"content":{"rendered":"

Alors que la demande mondiale d\u2019\u00e9lectricit\u00e9 continue de monter en fl\u00e8che, le secteur de l\u2019\u00e9nergie se trouve confront\u00e9 \u00e0 un d\u00e9fi unique. En plus de r\u00e9pondre \u00e0 la demande mondiale croissante, elle doit franchir les \u00e9tapes qui nous aideront \u00e0 atteindre un avenir o\u00f9 les \u00e9missions nettes seront nulles. Selon les donn\u00e9es de novembre 2021, 193 pays de la Convention-cadre des Nations Unies sur les changements climatiques (CCNUCC) sont parties \u00e0 l'Accord de Paris.<\/p>\n

Les \u00e9nergies renouvelables sont la seule solution durable pour r\u00e9pondre \u00e0 nos demandes \u00e9nerg\u00e9tiques tout en r\u00e9duisant les \u00e9missions. Cependant, son adoption pr\u00e9sente de multiples d\u00e9fis, ce qui nous am\u00e8ne au sujet de cet article. L\u2019intelligence artificielle a le potentiel de relever certains des principaux d\u00e9fis li\u00e9s aux \u00e9nergies renouvelables et d\u2019ouvrir la voie \u00e0 un avenir neutre en \u00e9missions. Les mod\u00e8les de pr\u00e9diction bas\u00e9s sur l'IA, tels que le programme d'IBM pour l'initiative SunShot du minist\u00e8re am\u00e9ricain de l'\u00c9nergie, sont un mod\u00e8le d'auto-apprentissage qui am\u00e9liore sa pr\u00e9cision avec le temps, car il a acc\u00e8s \u00e0 des ensembles de donn\u00e9es plus vastes.<\/p>\n

Pr\u00e9vision de g\u00e9n\u00e9ration<\/h2>\n

Le soleil, le vent et l\u2019eau sont les trois principales sources d\u2019\u00e9nergie renouvelables permettant d\u2019abandonner les combustibles fossiles. Ceux-ci sont disponibles en abondance et relativement simples \u00e0 exploiter. Cependant, chacun d\u2019entre eux comporte un \u00e9l\u00e9ment d\u2019impr\u00e9visibilit\u00e9. Ceux-ci d\u00e9pendent des conditions m\u00e9t\u00e9orologiques, qui \u00e9chappent \u00e0 notre contr\u00f4le. L'adoption de l'intelligence artificielle dans la gestion de l'\u00e9nergie peut aider \u00e0 lire les donn\u00e9es historiques et les param\u00e8tres m\u00e9t\u00e9orologiques actuels pour pr\u00e9voir la g\u00e9n\u00e9ration future. Pendant les p\u00e9riodes de haute disponibilit\u00e9, les op\u00e9rateurs peuvent approvisionner l\u2019ensemble de la client\u00e8le gr\u00e2ce aux \u00e9nergies renouvelables. Lorsque la disponibilit\u00e9 est insuffisante pour r\u00e9pondre \u00e0 la demande pr\u00e9vue, ils peuvent d\u00e9placer une partie de la charge vers la production d\u2019\u00e9nergie fossile pour maintenir un approvisionnement stable.<\/p>\n

Pr\u00e9vision de la demande<\/h2>\n

Les soci\u00e9t\u00e9s de distribution d'\u00e9lectricit\u00e9 utilisent les tendances historiques de la demande pour pr\u00e9dire la demande attendue. Bien qu\u2019utile, ce mod\u00e8le est sujet \u00e0 des erreurs car il ne prend pas en compte les donn\u00e9es actuelles (m\u00e9t\u00e9o, imagerie satellite, vitesse du vent, intensit\u00e9 solaire, capteurs, etc.). Compte tenu de l\u2019impr\u00e9visibilit\u00e9 des conditions m\u00e9t\u00e9orologiques, de la disponibilit\u00e9 de la lumi\u00e8re solaire et de la vitesse du vent, il est crucial de m\u00e9langer les donn\u00e9es pass\u00e9es avec les param\u00e8tres actuels avant de pr\u00e9dire la demande attendue. L\u2019IA peut traiter de grandes quantit\u00e9s de donn\u00e9es complexes et d\u00e9velopper des algorithmes plus pr\u00e9cis pour pr\u00e9voir avec pr\u00e9cision les tendances de la demande pour les prochaines heures.<\/p>\n

Gestion du r\u00e9seau<\/h2>\n

Les r\u00e9seaux \u00e9lectriques constituent l\u2019\u00e9pine dorsale de l\u2019infrastructure \u00e9nerg\u00e9tique. Les algorithmes d'intelligence artificielle peuvent exploiter de grands ensembles de donn\u00e9es pour conna\u00eetre les mod\u00e8les de charge et garantir une utilisation optimale. Les r\u00e9seaux peuvent s'adapter aux pr\u00e9visions de production et de demande de charge pour offrir une fiabilit\u00e9 accrue tout en maintenant les co\u00fbts \u00e0 un niveau bas. Alors que les gouvernements encouragent l\u2019adoption de l\u2019\u00e9nergie solaire aupr\u00e8s des consommateurs domestiques et commerciaux, les r\u00e9seaux deviennent bidirectionnels. L\u2019IA peut permettre \u00e0 diff\u00e9rents composants du syst\u00e8me \u00e9lectrique de communiquer entre eux et d\u2019\u00e9viter les congestions.<\/p>\n

Entretien des infrastructures<\/h2>\n

Les r\u00e9seaux \u00e9lectriques sont un maillage complexe de composants \u00e9lectriques et les dysfonctionnements ne sont qu\u2019une question de temps. Les pannes soudaines prennent du temps et les perturbations qui en r\u00e9sultent entra\u00eenent des pertes pour l\u2019\u00e9conomie. Les syst\u00e8mes bas\u00e9s sur l'IA peuvent fournir des donn\u00e9es en temps r\u00e9el sur la sant\u00e9 globale du r\u00e9seau et pr\u00e9dire quelles parties du r\u00e9seau sont les plus susceptibles de se d\u00e9clencher. Les op\u00e9rateurs peuvent utiliser ces donn\u00e9es pour effectuer une maintenance pr\u00e9ventive pendant les p\u00e9riodes de faible demande. Les clients peuvent \u00eatre alert\u00e9s \u00e0 l\u2019avance pour garantir une perturbation minimale.<\/p>\n

Excellence op\u00e9rationnelle pilot\u00e9e par l\u2019automatisation<\/h2>\n

Une pr\u00e9vision pr\u00e9cise de la demande, une production d\u2019\u00e9lectricit\u00e9 flexible, un transport d\u2019\u00e9nergie efficace via un r\u00e9seau sain et une distribution sont quelques-uns des \u00e9l\u00e9ments mobiles cl\u00e9s d\u2019un syst\u00e8me \u00e9lectrique. Il s\u2019agit d\u2019un r\u00e9seau complexe qui n\u00e9cessite une prise de d\u00e9cision rapide et pr\u00e9cise. Les ordinateurs modernes sont meilleurs que les humains pour ing\u00e9rer de grandes quantit\u00e9s de donn\u00e9es et prendre des d\u00e9cisions fond\u00e9es sur des r\u00e8gles. Les capacit\u00e9s d\u2019auto-apprentissage de l\u2019intelligence artificielle rendent les ordinateurs bien plus efficaces que les op\u00e9rateurs lorsqu\u2019il s\u2019agit de surveiller l\u2019\u00e9tat du r\u00e9seau et de maintenir une infrastructure \u00e9lectrique fiable. Un r\u00e9seau \u00e9lectrique fonctionnant de mani\u00e8re optimale est une situation gagnant-gagnant pour toutes les parties prenantes.<\/p>\n

L\u2019int\u00e9gration de l\u2019intelligence artificielle dans le secteur des \u00e9nergies renouvelables a le potentiel de r\u00e9soudre une multitude de probl\u00e8mes existants qui affligent l\u2019industrie. Cependant, c\u2019est plus facile \u00e0 dire qu\u2019\u00e0 faire. Vous avez besoin d\u2019un partenaire de confiance pour assurer une transition r\u00e9ussie.<\/p>\n

L'intelligence artificielle d'AI Superior\u00a0des services de consultation\u00a0<\/a>proposer des solutions sur mesure pour \u00e9valuer vos besoins et formuler une strat\u00e9gie de gestion du changement adapt\u00e9e. Nous comprenons que chaque probl\u00e8me est unique et que la complexit\u00e9 du secteur des \u00e9nergies renouvelables exige des solutions d'IA personnalis\u00e9es. Que vous n\u2019ayez pas encore commenc\u00e9 votre aventure num\u00e9rique ou que vous en soyez \u00e0 mi-chemin, nous pouvons vous aider \u00e0 franchir la prochaine \u00e9tape vers l\u2019excellence op\u00e9rationnelle. Pour les entreprises qui se lancent sur la voie de la num\u00e9risation, nous proposons une strat\u00e9gie de donn\u00e9es personnalis\u00e9e pour collecter et organiser vos donn\u00e9es afin qu'elles soient stock\u00e9es en toute s\u00e9curit\u00e9, nettoy\u00e9es et pr\u00eates \u00e0 \u00eatre analys\u00e9es. Nous vous aidons ensuite \u00e0 optimiser les processus existants en utilisant les donn\u00e9es dont vous disposiez d\u00e9j\u00e0 mais que vous ne saviez pas utiliser efficacement. Enfin, nous vous guiderons \u00e0 travers le parcours de maturit\u00e9 num\u00e9rique o\u00f9 l'IA, les r\u00e9seaux neuronaux avanc\u00e9s et les techniques de simulation seront mis en \u0153uvre pour g\u00e9n\u00e9rer des profits.<\/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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