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Short-Term Load Forecasting of Electric Vehicle Charging Stations Accounting for Multifactor IDBO Hybrid Models

The charging behavior of electric vehicle users is highly stochastic, which makes the short-term prediction of charging load at electric vehicle charging stations difficult. In this paper, a data-driven hybrid model optimized by the improved dung beetle optimization algorithm (IDBO) is proposed to a...

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Principais autores: Minan Tang, Changyou Wang, Jiandong Qiu, Hanting Li, Xi Guo, Wenxin Sheng
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2024-06-01
Serier:Energies
Fag:
data driven
electric vehicle
charging load
convolutional neural network
gated recurrent neural network
dung beetle optimization algorithm
Online adgang:https://www.mdpi.com/1996-1073/17/12/2831
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