A Cluster-based Optimal Scheduling Strategy for Electric Vehicles Considering User Participation

To solve the scheduling problem of large-scale electric vehicles participating in peak shaving, this paper presents a cluster-based optimal scheduling strategy for electric vehicles considering user participation. Multilayer perceptron neural network is adopted to predict power load and obtain peak...

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Autori principali:	HAN Yan, DING Xiying, CHENG Kun, LI Xiaodong
Natura:	Artigo
Lingua:	Chinês
Pubblicazione:	Editorial Office of Control and Information Technology 2021-01-01
Serie:	Kongzhi Yu Xinxi Jishu
Soggetti:	electric vehicle clusters load prediction convolutional neural network peak cutting and valley filling optimal scheduling multilayer perceptron neural network
Accesso online:	http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2021.06.400
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