Log in to save to my catalogue

Automated pipeline framework for processing of large-scale building energy time series data

Automated pipeline framework for processing of large-scale building energy time series data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2466021091

Automated pipeline framework for processing of large-scale building energy time series data

About this item

Full title

Automated pipeline framework for processing of large-scale building energy time series data

Publisher

United States: Public Library of Science

Journal title

PloS one, 2020-12, Vol.15 (12), p.e0240461-e0240461

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Commercial buildings account for one third of the total electricity consumption in the United States and a significant amount of this energy is wasted. Therefore, there is a need for "virtual" energy audits, to identify energy inefficiencies and their associated savings opportunities using methods that can be non-intrusive and automated for applica...

Alternative Titles

Full title

Automated pipeline framework for processing of large-scale building energy time series data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2466021091

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2466021091

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0240461

How to access this item