{"id":19595,"date":"2025-07-03T18:20:50","date_gmt":"2025-07-03T16:20:50","guid":{"rendered":"https:\/\/www.crs4.it\/projects\/smile\/"},"modified":"2026-04-02T12:34:40","modified_gmt":"2026-04-02T10:34:40","slug":"smile","status":"publish","type":"projects","link":"https:\/\/www.crs4.it\/en\/projects\/smile\/","title":{"rendered":"SMILE"},"content":{"rendered":"<p>The project aims to develop ICT solutions that allow to:<\/p>\n<ul>\n<li>optimize the energy consumption behavior of users in the Smart Grid area;<\/li>\n<li>contribute to the overall efficiency of the Smart Grids.<\/li>\n<\/ul>\n<p>The specific objective is the development of tools for non-intrusive load monitoring, as well as clustering tools for user consumption profiles.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"gruppo":[],"class_list":["post-19595","projects","type-projects","status-publish","hentry"],"acf":{"title":"Servizio di consulenza nell'ambito del progetto SMILE per coordinamento scientifico","acronym":"SMILE","project_uuid":"63616fb9-501c-11e7-a596-0030485a3849","start_date":"10\/07\/2017","end_date":"10\/07\/2019","funder":"ENERGIA MEDITERRANEA SRL","partners":"\n<table style=\"width:100%; border-collapse: collapse;\">\n  <tr>\n    <th style=\"border: 1px solid #ddd; padding: 8px; background-color: #f2f2f2;\">Nome<\/th>\n    <th style=\"border: 1px solid #ddd; padding: 8px; background-color: #f2f2f2;\">Nazione<\/th>\n    <th style=\"border: 1px solid #ddd; padding: 8px; background-color: #f2f2f2;\">Ruolo<\/th>\n  <\/tr>\n\n  <tr>\n    <td style=\"border: 1px solid #ddd; padding: 8px;\"><a href=\"http:\/\/www.enermedenergia.it\" target=\"_blank\">Ener.Med. srl<\/a><\/td>\n    <td style=\"border: 1px solid #ddd; padding: 8px;\">Italy<\/td>\n    <td style=\"border: 1px solid #ddd; padding: 8px;\">Contractor<\/td>\n  <\/tr>\n<\/table>","team_members":[],"proj_website":"","project_status":"Completed","project_coordinator":[{"ID":10288,"post_author":"4","post_date":"2025-06-30 17:24:22","post_date_gmt":"2025-06-30 15:24:22","post_content":"Luca Massidda graduates in Mechanical Engineering at Cagliari University in 1997. He works for two year as a mechanical engineer for a private company, designing special valves for refinery plants.  Since 1999 he works at CRS4, where he gains experience in mechanical simulation and in scientific programming on parallel machines. He is involved in several projects: the design of fission fragment space propulsion system for the Italian Space Agency, the design of several equipment of the LHC and other experiments for CERN, the simulation of elastic wave propagation in various fields, the design and simulation of a solar power system, among others.  In 2008 he works at CERN as a scientific associate developing simulation software for beam dump studies.  He is now working again at CRS4 in fluid dynamics, turbulent combustion and mechanical simulation and he is group leader of the Smart Energy Systems team.","post_title":"Luca Massidda","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"luca-massidda","to_ping":"","pinged":"","post_modified":"2026-04-05 20:12:27","post_modified_gmt":"2026-04-05 18:12:27","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/luca-massidda\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>SMILE - CRS4<\/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.crs4.it\/en\/projects\/smile\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SMILE - CRS4\" \/>\n<meta property=\"og:description\" content=\"The project aims to develop ICT solutions that allow to: optimize the energy consumption behavior of users in the Smart Grid area; contribute to the overall efficiency of the Smart Grids. 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