Ensemble machine learning-based algorithm for electric vehicle user behavior prediction

[Display omitted] •Real electric vehicle charging data from 252 users were analyzed.•Defining the data entropy/sparsity ratio (R) as an indicator for predicting algorithm selection.•Exploiting the benefit of using diffusion-based kernel density estimator (DKDE) for prediction with high R data.•Reduc...

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Vydané v:	Applied energy Ročník 254; s. 113732
Hlavní autori:	Chung, Yu-Wei, Khaki, Behnam, Li, Tianyi, Chu, Chicheng, Gadh, Rajit
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.11.2019
Predmet:	algorithms artificial intelligence cost effectiveness Data entropy Data sparsity electric vehicles energy entropy EV user behavior prediction Kernel density estimator Machcine learning mathematical models prediction regression analysis variance Machcine learning Kernel density estimator Data sparsity Data entropy EV user behavior prediction
ISSN:	0306-2619, 1872-9118
On-line prístup:	Získať plný text
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