Load forecasting of refrigerated display cabinet based on CEEMD–IPSO–LSTM combined model

The load of the showcase is a nonlinear and unstable time series data, and the traditional forecasting method is not applicable. Deep learning algorithms are introduced to predict the load of the showcase. Based on the CEEMD–IPSO–LSTM combination algorithm, this paper builds a refrigerated display c...

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Autores principales: Pei Yuan, Zhenglin Lei, Qinghui Zeng, Yixiao Wu, Yanli Lu, Chaolong Hu
Formato: article
Lenguaje:EN
Publicado: De Gruyter 2021
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Acceso en línea:https://doaj.org/article/42baa8f438984cc5886a444fae2b3c8f
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