On the V2G capacity of shared electric vehicles and its forecasting through MAML‐CNN‐LSTM‐Attention algorithm

On the V2G capacity of shared electric vehicles and its forecasting through MAML‐CNN‐LSTM‐Attention algorithm

Abstract Shared electric vehicles (shared EVs) could be treated as energy storage and participate in electricity market services. In that case, the schedulable capacity that shared EV provide to grid in future time needs to be predicted accurately. Based on open data provided by a shared vehicle ren...

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Bibliographic Details
Main Authors: Mingkuo Xu, Hui Ren, Ping Chen, Guoyu Xin
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:IET Generation, Transmission & Distribution
Subjects:
attention mechanism
convolutional neural network
demand response
long short‐term memory neural network
model‐agnostic meta‐learning
shared electric vehicles
Online Access:https://doi.org/10.1049/gtd2.12921

Internet

https://doi.org/10.1049/gtd2.12921

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