{"id":4035,"date":"2022-04-05T02:00:00","date_gmt":"2022-04-05T00:00:00","guid":{"rendered":"https:\/\/immobilien-lindstedt-2.bendit.de\/forschung-solaranlagen-mithilfe-von-kuenstlicher-intelligenz-verbessern\/"},"modified":"2022-04-05T02:00:00","modified_gmt":"2022-04-05T00:00:00","slug":"forschung-solaranlagen-mithilfe-von-kuenstlicher-intelligenz-verbessern","status":"publish","type":"post","link":"https:\/\/immobilien-lindstedt.bendit.de\/en\/research-to-improve-solar-systems-with-the-help-of-artificial-intelligence\/","title":{"rendered":"Research: Improving solar systems with the help of artificial intelligence\u00a0"},"content":{"rendered":"<p>A technology for optimizing solar systems is the goal of the Dig4morE joint project, which includes the Helmholtz Institute Erlangen-Nuremberg and the photovoltaic companies Sunsniffer, Aquila Capital and Sunset Energietechnik. The project partners want to use artificial intelligence to develop a methodology that suggests optimization measures for solar installations.<\/p>\n<p>Thanks to the methodology, it should be possible to read out faults directly on site from the monitoring data of the individual solar modules. The aim is also to develop a methodology that recognizes the faults of the solar systems even in different weather conditions. The photovoltaic companies are therefore providing the researchers with data from eleven solar parks located throughout Europe.<\/p>\n<p>The new method should make it possible to analyze faults more cost-effectively. According to the project managers, solar module faults can already be detected using thermographic analysis, for example, but this is expensive and time-consuming. The project managers expect the first results towards the end of the year. Among other things, they would like to derive recommendations for action from these.<\/p>\n<p>Source and further information: fz-juelich.de<br \/>\n \u00a9 Fotolia\u00a0<\/p>","protected":false},"excerpt":{"rendered":"<p>Eine Technik zur Optimierung von Solaranlagen ist das Ziel des sogenannten Verbundprojekts Dig4morE, dem das Helmholtz-Institut Erlangen-N\u00fcrnberg sowie die Photovoltaik-Unternehmen Sunsniffer, Aquila Capital und Sunset Energietechnik angeh\u00f6ren. Mittels k\u00fcnstlicher Intelligenz wollen die Projektpartner eine Methodik entwickeln, die Optimierungsma\u00dfnahmen f\u00fcr Solaranlagen vorschl\u00e4gt. Dank der Methodik sollen Fehler direkt vor Ort aus den Monitoring-Daten der einzelnen Solarmodule [&hellip;]<\/p>","protected":false},"author":2,"featured_media":4036,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[],"class_list":["post-4035","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-energieeffizienz"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Forschung: Solaranlagen mithilfe von k\u00fcnstlicher Intelligenz verbessern\u00a0 - Immobilien Lindstedt<\/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:\/\/immobilien-lindstedt.bendit.de\/en\/research-to-improve-solar-systems-with-the-help-of-artificial-intelligence\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Forschung: Solaranlagen mithilfe von k\u00fcnstlicher Intelligenz verbessern\u00a0 - Immobilien Lindstedt\" \/>\n<meta property=\"og:description\" content=\"Eine Technik zur Optimierung von Solaranlagen ist das Ziel des sogenannten Verbundprojekts Dig4morE, dem das Helmholtz-Institut Erlangen-N\u00fcrnberg sowie die Photovoltaik-Unternehmen Sunsniffer, Aquila Capital und Sunset Energietechnik angeh\u00f6ren. Mittels k\u00fcnstlicher Intelligenz wollen die Projektpartner eine Methodik entwickeln, die Optimierungsma\u00dfnahmen f\u00fcr Solaranlagen vorschl\u00e4gt. Dank der Methodik sollen Fehler direkt vor Ort aus den Monitoring-Daten der einzelnen Solarmodule [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/immobilien-lindstedt.bendit.de\/en\/research-to-improve-solar-systems-with-the-help-of-artificial-intelligence\/\" \/>\n<meta property=\"og:site_name\" content=\"Immobilien Lindstedt\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/immobilienlindstedt\/\" \/>\n<meta property=\"article:published_time\" content=\"2022-04-05T00:00:00+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/immobilien-lindstedt.bendit.de\/wp-content\/uploads\/2022\/04\/1648215098_Fotolia_49637262-zstock-PALMHX.jpeg\" \/>\n\t<meta property=\"og:image:width\" content=\"400\" \/>\n\t<meta property=\"og:image:height\" content=\"267\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Fabian Hebermehl\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@ImmoLindstedt\" \/>\n<meta name=\"twitter:site\" content=\"@ImmoLindstedt\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Fabian Hebermehl\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/immobilien-lindstedt.bendit.de\/forschung-solaranlagen-mithilfe-von-kuenstlicher-intelligenz-verbessern\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/immobilien-lindstedt.bendit.de\/forschung-solaranlagen-mithilfe-von-kuenstlicher-intelligenz-verbessern\/\"},\"author\":{\"name\":\"Fabian Hebermehl\",\"@id\":\"https:\/\/immobilien-lindstedt.bendit.de\/en\/#\/schema\/person\/86236ddc33ba5c0b32448f36cc4c4254\"},\"headline\":\"Forschung: Solaranlagen mithilfe von k\u00fcnstlicher Intelligenz verbessern\u00a0\",\"datePublished\":\"2022-04-05T00:00:00+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/immobilien-lindstedt.bendit.de\/forschung-solaranlagen-mithilfe-von-kuenstlicher-intelligenz-verbessern\/\"},\"wordCount\":177,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/immobilien-lindstedt.bendit.de\/en\/#organization\"},\"image\":{\"@id\":\"https:\/\/immobilien-lindstedt.bendit.de\/forschung-solaranlagen-mithilfe-von-kuenstlicher-intelligenz-verbessern\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/immobilien-lindstedt.bendit.de\/wp-content\/uploads\/2022\/04\/1648215098_Fotolia_49637262-zstock-PALMHX.jpeg\",\"articleSection\":[\"Energieeffizienz\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/immobilien-lindstedt.bendit.de\/forschung-solaranlagen-mithilfe-von-kuenstlicher-intelligenz-verbessern\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/immobilien-lindstedt.bendit.de\/forschung-solaranlagen-mithilfe-von-kuenstlicher-intelligenz-verbessern\/\",\"url\":\"https:\/\/immobilien-lindstedt.bendit.de\/forschung-solaranlagen-mithilfe-von-kuenstlicher-intelligenz-verbessern\/\",\"name\":\"Forschung: Solaranlagen mithilfe von k\u00fcnstlicher Intelligenz verbessern\u00a0 - 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