{"id":87,"date":"2025-08-13T12:17:12","date_gmt":"2025-08-13T12:17:12","guid":{"rendered":"http:\/\/en.marcusm.dk\/bad_podcast\/?post_type=podcast&#038;p=87"},"modified":"2025-08-13T12:17:12","modified_gmt":"2025-08-13T12:17:12","slug":"deepmind-ai-grid-operations-fluid-dynamics-analogy","status":"publish","type":"podcast","link":"https:\/\/en.marcusm.dk\/bad_podcast\/podcast\/deepmind-ai-grid-operations-fluid-dynamics-analogy\/","title":{"rendered":"DeepMind AI: Grid Operations &amp; Fluid Dynamics Analogy"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">The provided text discusses\u00a0<strong>DeepMind&#8217;s advancements in machine learning (ML)<\/strong>, particularly in\u00a0<strong>fluid dynamics simulation<\/strong>, and explores their\u00a0<strong>potential application to electricity grid operations<\/strong>. It highlights\u00a0<strong>Graph Network-based Simulators (GNS)<\/strong>\u00a0and\u00a0<strong>MeshGraphNets<\/strong>\u00a0as key ML techniques that can simulate complex physical processes with significantly increased speed and accuracy compared to traditional methods. The text then draws an\u00a0<strong>analogy between fluid flow and electricity flow<\/strong>\u00a0in power grids, proposing that similar ML techniques could revolutionise areas such as\u00a0<strong>power flow optimisation, renewable energy integration, enhanced weather forecasting for grid resilience, and fault detection through digital twin technology<\/strong>. While acknowledging limitations like data requirements and the need for regulatory acceptance, the overall assessment suggests that ML offers substantial\u00a0<strong>short-term benefits like improved forecasting<\/strong>\u00a0and\u00a0<strong>long-term potential for autonomous grid management<\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The provided text discusses\u00a0DeepMind&#8217;s advancements in machine learning (ML), particularly in\u00a0fluid dynamics simulation, and explores their\u00a0potential application to electricity grid operations. It highlights\u00a0Graph Network-based Simulators (GNS)\u00a0and\u00a0MeshGraphNets\u00a0as key ML techniques that can simulate complex physical processes with significantly increased speed and accuracy compared to traditional methods. The text then draws an\u00a0analogy between fluid flow and electricity [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"inline_featured_image":false,"episode_type":"audio","audio_file":"http:\/\/en.marcusm.dk\/bad_podcast\/wp-content\/uploads\/2025\/08\/DeepMind_s_AI__The_Future_of_Our_Power_Grid_From_Fluid_Dynamics_to_Self-Healing_Energy.m4a","cover_image":"","cover_image_id":"","duration":"27:31","filesize":"50.67M","date_recorded":"2025-08-13 12:17:12","explicit":"","block":"","itunes_episode_number":"","itunes_title":"","itunes_season_number":"","itunes_episode_type":"","filesize_raw":"53132973"},"tags":[],"series":[10],"class_list":["post-87","podcast","type-podcast","status-publish","hentry","series-digital-accelerations-podcast"],"episode_featured_image":false,"episode_player_image":"https:\/\/en.marcusm.dk\/bad_podcast\/wp-content\/uploads\/2025\/08\/image-3.png","download_link":"https:\/\/en.marcusm.dk\/bad_podcast\/podcast-download\/87\/deepmind-ai-grid-operations-fluid-dynamics-analogy","player_link":"https:\/\/en.marcusm.dk\/bad_podcast\/podcast-player\/87\/deepmind-ai-grid-operations-fluid-dynamics-analogy","audio_player":"<a class=\"wp-embedded-audio\" href=\"https:\/\/en.marcusm.dk\/bad_podcast\/podcast-player\/87\/deepmind-ai-grid-operations-fluid-dynamics-analogy\">https:\/\/en.marcusm.dk\/bad_podcast\/podcast-player\/87\/deepmind-ai-grid-operations-fluid-dynamics-analogy<\/a>","episode_data":{"playerMode":"dark","subscribeUrls":{"apple_podcasts":{"key":"apple_podcasts","url":"","label":"Apple Podcasts","class":"apple_podcasts","icon":"apple-podcasts.png"},"stitcher":{"key":"stitcher","url":"","label":"Stitcher","class":"stitcher","icon":"stitcher.png"},"google_podcasts":{"key":"google_podcasts","url":"","label":"Google Podcasts","class":"google_podcasts","icon":"google-podcasts.png"},"spotify":{"key":"spotify","url":"","label":"Spotify","class":"spotify","icon":"spotify.png"}},"rssFeedUrl":"https:\/\/en.marcusm.dk\/bad_podcast\/feed\/podcast\/digital-accelerations-podcast","embedCode":"<blockquote class=\"wp-embedded-content\" data-secret=\"WN8BFbCWFR\"><a href=\"https:\/\/en.marcusm.dk\/bad_podcast\/podcast\/deepmind-ai-grid-operations-fluid-dynamics-analogy\/\">DeepMind AI: Grid Operations &amp; Fluid Dynamics Analogy<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/en.marcusm.dk\/bad_podcast\/podcast\/deepmind-ai-grid-operations-fluid-dynamics-analogy\/embed\/#?secret=WN8BFbCWFR\" width=\"500\" height=\"350\" title=\"&#8220;DeepMind AI: Grid Operations &amp; Fluid Dynamics Analogy&#8221; &#8211; Digital Accelerations Podcast-feed\" data-secret=\"WN8BFbCWFR\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! 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