DSpace Repository

Predicting residential electricity consumption using neural networks: A case study

Show simple item record

dc.contributor.author YOO PARK, SANG GUUN
dc.date.accessioned 2019-05-14T00:38:06Z
dc.date.available 2019-05-14T00:38:06Z
dc.date.issued 2018-06-15
dc.identifier.idautor 1306853720
dc.identifier.issn 17426588
dc.identifier.uri https://doi.org/10.1088/1742-6596/1072/1/012005
dc.identifier.uri http://iopscience.iop.org/article/10.1088/1742-6596/1072/1/012005/pdf
dc.identifier.uri http://repositorio.espe.edu.ec/handle/21000/20085
dc.publisher Journal of Physics: Conference Series
dc.relation.ispartof Journal of Physics: Conference Series, volumen 1072, número 1072
dc.rights openAccess
dc.title Predicting residential electricity consumption using neural networks: A case study
dc.type Artículo


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account

Statistics