{"id":188863,"date":"2024-06-21T14:15:58","date_gmt":"2024-06-21T12:15:58","guid":{"rendered":"https:\/\/www.rse-web.it\/pubblicazioni\/highlighting-of-local-power-quality-states-with-the-new-queen-system-enhanced-with-deep-learning-and-machine-learning-algorithms\/"},"modified":"2024-07-02T14:21:58","modified_gmt":"2024-07-02T12:21:58","slug":"highlighting-of-local-power-quality-states-with-the-new-queen-system-enhanced-with-deep-learning-and-machine-learning-algorithms","status":"publish","type":"pubblicazioni","link":"https:\/\/www.rse-web.it\/en\/publications\/highlighting-of-local-power-quality-states-with-the-new-queen-system-enhanced-with-deep-learning-and-machine-learning-algorithms\/","title":{"rendered":"Highlighting of local Power Quality states with the new QuEEN system, enhanced with Deep Learning and Machine Learning algorithms"},"content":{"rendered":"<p class=\"last-updated-date\">Recently updated on July 2nd, 2024 at 02:21 pm<\/p>","protected":false},"excerpt":{"rendered":"<p>The enhancement of the new QuEEN system, with the integration of Deep Learning and Machine Learning algorithms for assessing the validity and origin of voltage sags, has allowed for the identification and highlighting of specific situations concerning Power Quality. <\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1324,1407],"targets":[1317],"pubblicazioni_tipologie":[778],"class_list":["post-188863","pubblicazioni","type-pubblicazioni","status-publish","hentry","tag-electricity-network-en","tag-quality-of-supply","targets-research","pubblicazioni_tipologie-paper-en"],"acf":{"dont_show_hompage":true,"projects":{"ID":188403,"post_author":"464","post_date":"2024-06-13 15:10:08","post_date_gmt":"2024-06-13 13:10:08","post_content":"","post_title":"Evolution, planning, scheduling and operation of power grids","post_excerpt":"The goal of the project is the pursuit of efficient management of the Italian electricity system that meets, in evolving scenarios, criteria of security and quality of operation, adequacy and resilience, ensuring a system-based approach. ","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"evolution-planning-scheduling-and-operation-of-power-grids","to_ping":"","pinged":"","post_modified":"2024-07-02 10:31:45","post_modified_gmt":"2024-07-02 08:31:45","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/evolution-planning-scheduling-and-operation-of-power-grids\/","menu_order":0,"post_type":"progetti","post_mime_type":"","comment_count":"0","filter":"raw"},"order_posts":"","dont_show_search":false,"related_posts":false,"show_on_slider":false,"single_post_data":{"titolo_spot":"","post_content":"<p>The enhancement of the new QuEEN system, integrating Deep Learning and Machine Learning algorithms for assessing the validity and origin of voltage sags, has enabled the identification and highlighting of specific situations related to Power Quality.<\/p>\n<p>&nbsp;<\/p>\n<p>Regional comparisons have been made between the outcomes of the new algorithms and those historically implemented in QuEEN, cross-referencing the results with network data. While nationally the comparison results confirm previous assumptions, locally, specific situations regarding the frequency of false voltage sags and hence single-phase earth faults are observed. These situations are analyzed in relation to network characteristics.<\/p>\n","scarica_file":false,"link_estreno":[{"link_text":"Download Publication","link":"https:\/\/ieeexplore.ieee.org\/document\/9951859"}],"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2022-10-05","autori":"M. Zanoni, R. Chiumeo, L. Tenti, M. Volta (RSE S.p.A.)","destinazione":"114th Edition AEIT International Annual Conference, Rome, October 3-5, 2022","rif_rse":"22008522"},"satellite_post_url":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Highlighting of local Power Quality states with the new QuEEN system, enhanced with Deep Learning and Machine Learning algorithms - RSE<\/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.rse-web.it\/en\/publications\/highlighting-of-local-power-quality-states-with-the-new-queen-system-enhanced-with-deep-learning-and-machine-learning-algorithms\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Highlighting of local Power Quality states with the new QuEEN system, enhanced with Deep Learning and Machine Learning algorithms - 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