An End-to-End Relearning Framework for Building Energy Optimization
An End-to-End Relearning Framework for Building Energy Optimization
About this item
Full title
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Building HVAC systems face significant challenges in energy optimization due to changing building characteristics and the need to balance multiple efficiency objectives. Current approaches are limited: physics-based models are expensive and inflexible, while data-driven methods require extensive data collection and ongoing maintenance. This paper i...
Alternative Titles
Full title
An End-to-End Relearning Framework for Building Energy Optimization
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_7876561cb05949c7a57624aaa3c64c36
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7876561cb05949c7a57624aaa3c64c36
Other Identifiers
ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en18061408
