Neuralcompression: a machine learning approach to compress high frequency measurements in smart grid

Show simple item record

dc.contributor.author Das, Laya
dc.contributor.author Garg, Dinesh
dc.contributor.author Srinivasan, Babji
dc.date.accessioned 2019-10-11T07:26:59Z
dc.date.available 2019-10-11T07:26:59Z
dc.date.issued 2019-09
dc.identifier.citation Das, Laya; Garg, Dinesh and Srinivasan, Babji, "Neuralcompression: a machine learning approach to compress high frequency measurements in smart grid", Applied Energy, Oct. 2019. en_US
dc.identifier.issn 0306-2619
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/4869
dc.description.statementofresponsibility by Laya Das, Dinesh Garg and Babji Srinivasan
dc.language.iso en_US en_US
dc.publisher Elsevier en_US
dc.title Neuralcompression: a machine learning approach to compress high frequency measurements in smart grid en_US
dc.type Article en_US
dc.relation.journal Applied Energy


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 Digital Repository


Browse

My Account