{"id":13437,"date":"2026-02-05T09:58:55","date_gmt":"2026-02-05T09:58:55","guid":{"rendered":"https:\/\/fie.edu.al\/?page_id=13437"},"modified":"2026-02-05T10:23:02","modified_gmt":"2026-02-05T10:23:02","slug":"ahead","status":"publish","type":"page","link":"https:\/\/fie.edu.al\/en\/ahead\/","title":{"rendered":"AHEAD"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"13437\" class=\"elementor elementor-13437\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e19fd6b e-con-full e-flex e-con e-parent\" data-id=\"e19fd6b\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-4ad90da e-grid e-con-full e-con e-child\" data-id=\"4ad90da\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7c316fd elementor-widget elementor-widget-shortcode\" data-id=\"7c316fd\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\"><nav id=\"bellows-main-65\" class=\"bellows bellows-nojs bellows-main bellows-source-menu bellows-align-full bellows-skin-blue-material bellows-type-\"><ul id=\"menu-side-bar-publikime\" class=\"bellows-nav\" data-bellows-config=\"main\"><li id=\"menu-item-13439\" class=\"bellows-menu-item bellows-menu-item-type-post_type bellows-menu-item-object-page bellows-menu-item-13439 bellows-item-level-0\"><a  href=\"https:\/\/fie.edu.al\/en\/ahead\/\" class=\"bellows-target\"><span class=\"bellows-target-title bellows-target-text\">AHEAD<\/span><\/a><\/li>\n<li id=\"menu-item-13440\" class=\"bellows-menu-item bellows-menu-item-type-post_type bellows-menu-item-object-page bellows-menu-item-13440 bellows-item-level-0\"><a  href=\"https:\/\/fie.edu.al\/en\/solar-move\/\" class=\"bellows-target\"><span class=\"bellows-target-title bellows-target-text\">SOLAR MOVE<\/span><\/a><\/li>\n<\/ul><\/nav><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c7b2a5f elementor-widget elementor-widget-text-editor\" data-id=\"c7b2a5f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-size: 18pt;\"><strong>AI-informed Holistic EVs integration<\/strong><\/span><br \/><span style=\"font-size: 18pt;\"><strong>Approaches for Distribution grids \/ AHEAD<\/strong><\/span><br \/>The AHEAD (AI-informed Holistic Electric Vehicles Integration Approaches for Distribution Grids) project<br \/>will create a simulation environment capable of predicting the most convenient location to place the electric<br \/>vehicle (EV) charging stations and optimise both the usage of the power grid resources, and the charging stations<br \/>located in urban and rural areas. This simulation environment will exploit the unique features of currently<br \/>available AI models and include two layers: the spatial mapping one (placing the chargers where the people need<br \/>them to be), and the power grid one (placing the chargers where the grid can support them). Innovative smart<br \/>charging algorithms will be designed and tested in the model, to minimise the impact of EV charging pools on<br \/>the network, and ensure the consumers have economic benefits. Moreover, these smart charging algorithms will<br \/>be tested in three demonstration sites, dedicated to assessing the technical and economic feasibility of smart<br \/>charging light and heavy-duty EVs, and boats. To this end, AHEAD gathered relevant partners from all the EV<br \/>value-chain: technology providers who want to test their equipment in the real world, grid operators, who want<br \/>to optimise the usage of the grid resources and mitigate the EV charging impact, and research institutions, who<br \/>aim at advancing the knowledge on the topic and producing value for society. Particular attention is going to be<br \/>placed on the user experience and cybersecurity part of the demonstrators, with specific partners who focus their<br \/>efforts on understanding how to minimize the impact of smart charging on the user experience and on creating<br \/>a model to represent cyber-attacks on the chargers to suggest efficient defensive mechanisms for system<br \/>protection.<\/p><p><strong>Partners:<\/strong><br \/>Politecnico di Milano, Coordinator<br \/>Technical University of Denmark<br \/>Instituto de Engenharia de Sistemas e Computadores<br \/>A2A<br \/>Spirii<br \/>Instituto Superior T\u00e9cnico<\/p><p>Amina<br \/>Kempower<br \/>Polytechnic University of Tirana<br \/>Ease-Link GMBH<br \/>Unareti<br \/>EEM-Empresa de Electricidade da Madeira, S.A.<br \/>Elektro Gorenjska<br \/>Funchal Municipality<br \/>MOBI-E<br \/>L\u2019Association Europeenne de la Mobilite Electrique<br \/>CNET \u2013 Centre for New Energy Technologies, S.A.<br \/>Norsk elbilforening<br \/>NTT DATA<br \/>Roskilde University<br \/>Azienda Trasporti Milanesi<\/p><p>\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>AI-informed Holistic EVs integrationApproaches for Distribution grids \/ AHEADThe AHEAD (AI-informed Holistic Electric Vehicles Integration Approaches for Distribution Grids) projectwill create a simulation environment capable of predicting the most convenient location to place the electricvehicle (EV) charging stations and optimise &hellip; <\/p>","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-13437","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.4 - 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