Christopher’s work focuses on the application of machine learning and big data algorithms to public charging infrastructure for electric vehicles and their implementation in an industrial context. Key questions include how existing vehicles and infrastructure can be best utilized, how future expansion can be best organized, and how electric vehicles can interact with the power grid in a way that benefits the system. Through the platform www.mobility-charts.de and appearances at various conferences, he is a leading voice on the use of charging infrastructure in Germany.<\/p>\n\n
As part of electric mobility, he also focusses on buffer batteries and home energy storage systems. He has experience in the fields CAPEX\/OPEX projection for power and gas grid assets, power grid and power market modelling, wind energy tenders, and renewable energy technology. He further has an extensive IT and programming background with projects completed in database management and back-end development.<\/p>\n\n
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Christopher’s work focuses on the application of machine learning and big data algorithms to public charging infrastructure for electric vehicles and their implementation in an industrial context. Key questions include how existing vehicles and infrastructure can be best utilized, how future expansion can be best organized, and how electric vehicles can interact with the power […]<\/p>\n","protected":false},"author":1,"featured_media":4938,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[29],"tags":[],"class_list":["post-4940","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-conference-chair"],"acf":[],"yoast_head":"\n