PUBLICACIÓN

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

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ACCEDER A LA PUBLICACIÓN: Scopus Orcid

Fernandez-martinez D., Jaramillo-moran M.A.

2022 SENSORS

Analytical Chemistry (Q1), Atomic and Molecular Physics, and Optics (Q2), Biochemistry (Q2), Electrical and Electronic Engineering (Q2), Information Systems (Q2), Instrumentation (Q1), Medicine (miscellaneous) (Q2)

JCR: 3.9

SJR: 0.764


CITAS

11

DOI

10.3390/s22103664

EID

2-s2.0-85129886967

ISSN

1424-8220

BIBTEX

@article{Fern_ndez_Mart_nez_2022, doi = {10.3390/s22103664}, url = {https://doi.org/10.3390%2Fs22103664}, year = 2022, month = {may}, publisher = {{MDPI} {AG}}, volume = {22}, number = {10}, pages = {3664}, author = {Daniel Fern{\'{a}}ndez-Mart{\'{\i}}nez and Miguel A. Jaramillo-Mor{\'{a}}n}, title = {Multi-Step Hourly Power Consumption Forecasting in a Healthcare Building with Recurrent Neural Networks and Empirical Mode Decomposition}, journal = {Sensors} }


AUTORES DE LA UEX