{"id":85624,"date":"2020-06-09T23:22:17","date_gmt":"2020-06-09T21:22:17","guid":{"rendered":"https:\/\/territorialchallenges.com\/?p=85624"},"modified":"2020-06-09T23:22:17","modified_gmt":"2020-06-09T21:22:17","slug":"lecons-tirees-des-micro-reseaux-pour-la-crise-covid-19","status":"publish","type":"post","link":"https:\/\/territorialchallenges.com\/en\/2020\/06\/09\/lecons-tirees-des-micro-reseaux-pour-la-crise-covid-19\/85624\/","title":{"rendered":"Lessons from microgrids for the COVID-19 crisis"},"content":{"rendered":"

Trevor Gionet is an algorithm scientist, and Kay Aikin runs Introspective Systems, a company that develops technology solutions for managing complex systems and offers xGraph software for analyzing data. In this post, they explain how flattening the COVID-19 curve is a lot like managing the grid with\u2026 <\/p>\n

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Trevor Gionet est un scientifique sp\u00e9cialiste des algorithmes et Kay Aikin, dirige Introspective Systems, une soci\u00e9t\u00e9 qui d\u00e9veloppe des solutions technologiques pour g\u00e9rer des syst\u00e8mes complexes et propose le logiciel xGraph, pour analyser les donn\u00e9es. Dans cette contribution, ils expliquent comment l’aplatissement de la courbe COVID-19 ressemble beaucoup \u00e0 la gestion du r\u00e9seau avec les... <\/p>\n

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