Multi-Step Hourly Power Consumption Forecasting in a Healthcare Building with Recurrent Neural Networks and Empirical Mode Decomposition.

Fernández-Martínez, Daniel; Jaramillo-Morán, Miguel A

Fernández-Martínez, Daniel; Jaramillo-Morán, Miguel A.

Afiliação

Fernández-Martínez D; Department of Mechanical, Energetic and Material Engineering, School of Industrial Engineering, University of Extremadura, Avda. Elvas s/n, 06006 Badajoz, Spain.
Jaramillo-Morán MA; Department of Electrical Engineering, Electronics and Automation, School of Industrial Engineering, University of Extremadura, Avda. Elvas s/n, 06006 Badajoz, Spain.

Sensors (Basel) ; 22(10)2022 May 11.

Article em En | MEDLINE | ID: mdl-35632071

Assuntos

Inteligência Artificial; Redes Neurais de Computação; Algoritmos; Atenção à Saúde; Previsões

Palavras-chave

Empirical Model Decomposition; Gated Recurrent Units; Long Short-Term Memories; multivariate time series; short term prediction of power consumption; times series forecasting

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Redes Neurais de Computação Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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