Electric Vehicle Charging Load Forecasting: A Comparative Study of Deep Learning Approaches

Electric Vehicle Charging Load Forecasting: A Comparative Study of Deep Learning Approaches

Load forecasting is one of the major challenges of power system operation and is crucial to the effective scheduling for economic dispatch at multiple time scales. Numerous load forecasting methods have been proposed for household and commercial demand, as well as for loads at various nodes in a pow...

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Bibliographic Details
Main Authors: Juncheng Zhu, Zhile Yang, Monjur Mourshed, Yuanjun Guo, Yimin Zhou, Yan Chang, Yanjie Wei, Shengzhong Feng
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Energies
Subjects:
load forecasting
LSTM
electric vehicles
deep learning
Online Access:https://www.mdpi.com/1996-1073/12/14/2692

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https://www.mdpi.com/1996-1073/12/14/2692

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