A Framework for Prediction of Household Energy Consumption Using Feed Forward Back Propagation Neura...
A Framework for Prediction of Household Energy Consumption Using Feed Forward Back Propagation Neural Network
About this item
Full title
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Energy is considered the most costly and scarce resource, and demand for it is increasing daily. Globally, a significant amount of energy is consumed in residential buildings, i.e., 30–40% of total energy consumption. An active energy prediction system is highly desirable for efficient energy production and utilization. In this paper, we have propo...
Alternative Titles
Full title
A Framework for Prediction of Household Energy Consumption Using Feed Forward Back Propagation Neural Network
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_25fb0d39530f476eb19810be752026c1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_25fb0d39530f476eb19810be752026c1
Other Identifiers
ISSN
2227-7080
E-ISSN
2227-7080
DOI
10.3390/technologies7020030
