{"id":60099,"date":"2024-08-27T16:12:10","date_gmt":"2024-08-27T16:12:10","guid":{"rendered":"https:\/\/content.technikum-wien.at\/?post_type=news&p=60099"},"modified":"2025-09-08T09:22:46","modified_gmt":"2025-09-08T09:22:46","slug":"artificial-intelligence-for-the-energy-transition-successful-completion-of-the-kite-project","status":"publish","type":"news","link":"https:\/\/content.technikum-wien.at\/en\/news\/artificial-intelligence-for-the-energy-transition-successful-completion-of-the-kite-project\/","title":{"rendered":"Artificial Intelligence for the Energy Transition: Successful Completion of the Kite Project"},"content":{"rendered":"\n
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On April 10, 2024, the final meeting of the FFG-funded AI project \u201cKITE\u201d took place, which brought together six strong partners from the energy industry at Technikum Wien. They worked together to build up expertise in the field of data-based artificial intelligence in companies in the energy sector.<\/p>\n\n\n\n

Leading companies from the energy industry involved<\/h2>\n\n\n\n

The \u201cKITE\u201d project (competence development for the sustainable use of data-based artificial intelligence technologies in the energy sector) was launched on November 30, 2022. Six leading companies from the energy industry took part and contributed their expertise and experience: Sonnenplatz Gro\u00dfsch\u00f6nau GmbH, ATB-Becker e.U., H\u00f6dl am Kurs GmbH, Scheiber Solutions GmbH, Elektrizit\u00e4tswerke Reutte AG and Elektrizit\u00e4tswerke Frastanz GmbH.<\/p>\n\n\n\n

Building skills and future prospects<\/h2>\n\n\n\n

The \u201cKITE\u201d project, led by project manager Elaheh Momeni-Ortner (Artificial Intelligence & Data Analytics competence field), aimed to provide companies with skills in the use of data-based AI technologies. Until spring 2024, individual training sessions were held in an innovation camp to assess companies’ data maturity and drive forward the development of data management, data analytics and data security. This was intended to strengthen companies in research, development and innovation management.<\/p>\n\n\n\n

Successful conclusion and outlook<\/h2>\n\n\n\n

The final meeting marked an important milestone in the successful implementation of the \u201cKITE\u201d project. The knowledge gained from the project will not only be incorporated into teaching at UAS Technikum Wien, but networking and cooperation between the companies will also be continued after the end of the project in order to further promote innovation in the energy sector.<\/p>\n\n\n\n

The final workshop played a decisive role in disseminating the project. By inviting external speakers from the fields of energy and AI and presenting the results of the KITE project to external experts, valuable impetus was provided.<\/p>\n\n\n\n

Further Links:<\/h2>\n\n\n\n

Project page: Capacity building for the sustainable use of data-based artificial intelligence technologies in the energy sector (KITE)<\/a>

Kickoff for the KI-Project \u201eKITE\u201c<\/a>

Department Computer Science<\/a>

Competence Field Artificial Intelligence & Data Analytics<\/a>

Austrian Research Promotion Agency – \u00d6sterreichische Forschungsf\u00f6rderungsgesellschaft (FFG)<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n

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In the picture:<\/strong> (from left to right): Bernhard W\u00fcster (W\u00fcster Strom), Tobias Hildebrandt (UAS Technikum Wien), Marta Sabou (WU Vienna), Belal Abu Naim (Research Studios Austria – RSA), Anton Fuxjaeger (Enlite. ai), Matthias Blaickner (UAS Technikum Wien), Stefan Wilker (TU Wien), Sharwin Rezagholi (UAS Technikum Wien), Bettina Frantes (Sonnenplatz Gro\u00dfsch\u00f6nau GmbH), Michael J\u00e4ger, (Elektrizit\u00e4tswerke Frastanz GmbH), Patrick Kiss (eMentalist.ai), Elaheh Momeni-Ortner (UAS Technikum Wien), Markus H\u00f6dl (H\u00f6dl amKurs GmbH) and Alexander Mense (UAS Technikum Wien).<\/p>\n<\/div>\n<\/div>\n\n\n\n

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\"FFG-Logo\"\/<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Data-based AI technologies are intended to improve the energy industry and thus increase the efficiency of companies in the sector.<\/p>\n","protected":false},"author":36,"template":"","news-categories":[],"news-tags":[1210],"ppma_author":[2416],"class_list":["post-60099","news","type-news","status-publish","hentry","news-tags-computer-science"],"acf":{"featured_image":{"id":"60095","top":"51.09","left":"51.21","url":"https:\/\/media-hp.technikum-wien.at\/media\/20240827130248\/P4100747_1-scaled.jpg","width":"2560","height":"1440","alt":""},"ignore_cache":false,"extra_search_terms":false,"exclude_from_search":false,"override_header":false,"override_footer":false},"yoast_head":"\nArtificial Intelligence for the Energy Transition: Successful Completion of the Kite Project | FH Technikum Wien<\/title>\n<meta name=\"description\" content=\"On April 10, 2024, the final meeting of the FFG-funded AI project \u201cKITE\u201d took place, which brought together six strong partners from the 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