Energy Modeling with Nonlinear-Autoregressive Exogenous Neural Network
Energy Modeling with Nonlinear-Autoregressive Exogenous Neural Network
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Publisher
Les Ulis: EDP Sciences
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Language
English
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Publisher
Les Ulis: EDP Sciences
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Contents
The model-based predictive control (MPC) is considered to be an effective tool for optimal control of building heating, ventilation, and air-conditioning (HVAC) systems. MPC need to update the operating set points of the local control loops that have a significant influence on the energy performance of the system. Performance of MPC relies on the a...
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Full title
Energy Modeling with Nonlinear-Autoregressive Exogenous Neural Network
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TN_cdi_doaj_primary_oai_doaj_org_article_7c5c2ffb214743cb98108bbd5c3dcdf8
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7c5c2ffb214743cb98108bbd5c3dcdf8
Other Identifiers
ISSN
2267-1242,2555-0403
E-ISSN
2267-1242
DOI
10.1051/e3sconf/201911103059
