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

Literals

bibo:issn
- 1424-8220
ou: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} }
ou:urlOrcid
- https://doi.org/10.3390/s22103664
fabio:hasPublicationYear
- 2022
ou:eid
- 2-s2.0-85129886967
dcterms:creator
- Fernández-martínez D.
bibo:doi
- 10.3390/s22103664
dcterms:contributor
- Fernandez-martinez D.; Jaramillo-moran M.A.
vivo:identifier
- 2022-301
dcterms:publisher
- Sensors
ou:tipoPublicacion
- Article
dcterms:title
- Multi-Step Hourly Power Consumption Forecasting in a Healthcare Building with Recurrent Neural Networks and Empirical Mode Decomposition
vcard:url
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85129886967&origin=inward
ou:urlScopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85129886967&origin=inward
bibo:volume
- 22