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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[edit | edit source]
Conferences, Journals, and Professional Organizations[edit | edit source]
Libraries and Tools[edit | edit source]
Data[edit | edit source]
- Open Charge Map: A global registry of electric vehicles charging infrastructure with API, available here.