{"id":6167,"date":"2026-01-26T16:50:04","date_gmt":"2026-01-26T15:50:04","guid":{"rendered":"https:\/\/www.a2d.ai\/reliable-field-data-for-more-resilient-power-grids\/"},"modified":"2026-01-26T16:56:43","modified_gmt":"2026-01-26T15:56:43","slug":"reliable-field-data-for-more-resilient-power-grids","status":"publish","type":"post","link":"https:\/\/www.a2d.ai\/en\/reliable-field-data-for-more-resilient-power-grids\/","title":{"rendered":"Enedis: reliable field data for more resilient power grids"},"content":{"rendered":"<p>Guaranteeing the reliability of electrical networks depends above all on accurate, contextualized and usable field data. Faced with lengthening networks, ageing infrastructures and increasing climatic constraints, asset managers need to be able to anticipate risks rather than suffer from them.<\/p>\n<p>Against this backdrop, <strong>Enedis<\/strong> has taken a key step by integrating drone inspection into the surveillance of its substations and critical infrastructures.<br \/>\n<img fetchpriority=\"high\" decoding=\"async\" class=\"wp-image-6162 aligncenter\" src=\"https:\/\/www.a2d.ai\/wp-content\/uploads\/2026\/01\/article-blog-enedis-300x135.png\" alt=\"\" width=\"487\" height=\"219\" srcset=\"https:\/\/www.a2d.ai\/wp-content\/uploads\/2026\/01\/article-blog-enedis-300x135.png 300w, https:\/\/www.a2d.ai\/wp-content\/uploads\/2026\/01\/article-blog-enedis-1024x459.png 1024w, https:\/\/www.a2d.ai\/wp-content\/uploads\/2026\/01\/article-blog-enedis-768x344.png 768w, https:\/\/www.a2d.ai\/wp-content\/uploads\/2026\/01\/article-blog-enedis-1536x689.png 1536w, https:\/\/www.a2d.ai\/wp-content\/uploads\/2026\/01\/article-blog-enedis-2048x919.png 2048w, https:\/\/www.a2d.ai\/wp-content\/uploads\/2026\/01\/article-blog-enedis-1568x703.png 1568w\" sizes=\"(max-width: 487px) 100vw, 487px\" \/><\/p>\n<p><strong>Long-term collaboration for innovation<\/strong><\/p>\n<p><strong>A2D &#8211; Acquire To Decide<\/strong> has been working with Enedis on these issues for over 7 years. This collaboration is part of a continuous improvement process: improving agent safety, making asset data more reliable and accelerating operational decision-making.<\/p>\n<p>The added value lies not only in the use of the drone, but in the entire data processing chain.<\/p>\n<p><strong>Beyond the drone: a complete value chain, from capture to decision-making<\/strong><\/p>\n<p>What makes the difference is an <strong>end-to-end<\/strong> approach to infrastructure monitoring:<\/p>\n<ul>\n<li>Safe data collection in the field, with no need to work at height<\/li>\n<li>Automated, real-time image qualification, replacing manual annotations<\/li>\n<li>Early detection of vegetation risks and the first signs of deterioration<\/li>\n<li>Direct integration of data into Enedis&#8217; internal business tools<\/li>\n<\/ul>\n<p>This automation transforms massive volumes of images into structured information, ready for use by field, maintenance and asset management teams.<\/p>\n<p><strong>Concrete, measurable results<\/strong><\/p>\n<p>The benefits observed are clear:<br \/>\na significant improvement in agent safety, more reliable and contextualized data, and faster, better prioritized decisions.<\/p>\n<p>But beyond the operational results, this approach has established a <strong>lasting relationship of trust<\/strong>, demonstrating that automated, real-time monitoring is a key lever for power grid resilience.<\/p>\n<p><strong>Towards more resilient energy networks<\/strong><\/p>\n<p>Moving from periodic inspections to continuous monitoring, based on usable data, is a strategic challenge for network operators today. Tomorrow&#8217;s energy resilience will be built on the ability to detect problems earlier, understand them more quickly, and take more targeted action.<\/p>\n<p>At A2D, we are convinced that artificial intelligence and automation are essential pillars of this transformation.<\/p>\n<div style=\"width: 640px;\" class=\"wp-video\"><video class=\"wp-video-shortcode\" id=\"video-6167-1\" width=\"640\" height=\"360\" preload=\"metadata\" controls=\"controls\"><source type=\"video\/mp4\" src=\"https:\/\/www.a2d.ai\/wp-content\/uploads\/2025\/09\/vos-ouvrages-infrastructure-inspection-defauts-lignes-HTA.mp4?_=1\" \/><a href=\"https:\/\/www.a2d.ai\/wp-content\/uploads\/2025\/09\/vos-ouvrages-infrastructure-inspection-defauts-lignes-HTA.mp4\">https:\/\/www.a2d.ai\/wp-content\/uploads\/2025\/09\/vos-ouvrages-infrastructure-inspection-defauts-lignes-HTA.mp4<\/a><\/video><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Guaranteeing the reliability of electrical networks depends above all on accurate, contextualized and usable field data. Faced with lengthening networks, ageing infrastructures and increasing climatic constraints, asset managers need to be able to anticipate risks rather than suffer from them. Against this backdrop, Enedis has taken a key step by integrating drone inspection into the [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":6170,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-6167","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-non-classifiee"],"acf":[],"yoast_head":"<title>Enedis: reliable field data for more resilient power grids | A2D<\/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.a2d.ai\/en\/reliable-field-data-for-more-resilient-power-grids\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Enedis: reliable field data for more resilient power grids | A2D\" \/>\n<meta property=\"og:description\" content=\"Guaranteeing the reliability of electrical networks depends above all on accurate, contextualized and usable field data. Faced with lengthening networks, ageing infrastructures and increasing climatic constraints, asset managers need to be able to anticipate risks rather than suffer from them. Against this backdrop, Enedis has taken a key step by integrating drone inspection into the [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.a2d.ai\/en\/reliable-field-data-for-more-resilient-power-grids\/\" \/>\n<meta property=\"og:site_name\" content=\"A2D\" \/>\n<meta property=\"article:published_time\" content=\"2026-01-26T15:50:04+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-01-26T15:56:43+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.a2d.ai\/wp-content\/uploads\/2026\/01\/article-blog-enedis-1-1920x870.png\" \/>\n\t<meta property=\"og:image:width\" content=\"2265\" \/>\n\t<meta property=\"og:image:height\" content=\"1016\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Iris TEXIER\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Iris TEXIER\" 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