Electric vehicle charging infrastructure: Difference between revisions

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''This page is about the applications of machine learning (ML) in the context of optimizing electric vehicle charging infrastructure. For an overview of electric vehicle [https://en.wikipedia.org/wiki/Charging_station charging stations] or the c[https://en.wikipedia.org/wiki/Electric_vehicle_charging_network harging networks] more generally, please see the Wikipedia pages on this topic.''
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Deploying electric vehicles at scale requires an adequate charging infrastructure, with various planning, scheduling and management issues. ML can help for example with predicting usage of the infrastructure and load prediction.
 
Deploying electric vehicles at scale requires an adequate charging infrastructure, with various planning, scheduling and management issues. ML can help for example with predicting usage of the infrastructure and load prediction.

Revision as of 15:04, 26 August 2021

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This page is about the applications of machine learning (ML) in the context of optimizing electric vehicle charging infrastructure. For an overview of electric vehicle charging stations or the charging networks more generally, please see the Wikipedia pages on this topic.


Deploying electric vehicles at scale requires an adequate charging infrastructure, with various planning, scheduling and management issues. ML can help for example with predicting usage of the infrastructure and load prediction.

Background Readings

Conferences, Journals, and Professional Organizations

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Data

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References