Predicting Energy Consumption Using LSTM, Multi-Layer GRU and Drop-GRU Neural Networks

With the steep rise in the development of smart grids and the current advancement in developing measuring infrastructure, short term power consumption forecasting has recently gained increasing attention. In fact, the prediction of future power loads turns out to be a key issue to avoid energy wasta...

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Detalles Bibliográficos
Autores principales: Mahjoub, Sameh, Chrifi-Alaoui, Larbi, Marhic, Bruno, Delahoche, Laurent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185376/
https://www.ncbi.nlm.nih.gov/pubmed/35684681
http://dx.doi.org/10.3390/s22114062

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185376/
https://www.ncbi.nlm.nih.gov/pubmed/35684681
http://dx.doi.org/10.3390/s22114062

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