A data-driven framework for medium-term electric vehicle charging demand forecasting

A data-driven framework for medium-term electric vehicle charging demand forecasting

The rapid phase-in of electric vehicles (EV) will cause unprecedented issues with managing the supply of electricity and charging stations. It is in the interest of utility providers and everyday consumers to be able to plan for peak charging times, and related congestion. While past work has been d...

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Bibliographic Details
Main Authors: Alexander Orzechowski, Loren Lugosch, Hao Shu, Raymond Yang, Wei Li, Brett H. Meyer
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Energy and AI
Subjects:
Public EV charging
Forecasting
Energy consumption
Smart grid
Time-series
Multi-task learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546823000393

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http://www.sciencedirect.com/science/article/pii/S2666546823000393

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