http://rdf.ncbi.nlm.nih.gov/pubchem/reference/36116239

Outgoing Links

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contentType Journal Article
issn 0043-1354
pageRange 120733-
publicationName Water Research
startingPage 120733
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bibliographicCitation Wang C, Li Z, Ni X, Shi W, Zhang J, Bian J, Liu Y. Residential water and energy consumption prediction at hourly resolution based on a hybrid machine learning approach. Water Res. 2023 Nov 01;246():120733. doi: 10.1016/j.watres.2023.120733. PMID: 37879283.
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date 2023-11-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://pubmed.ncbi.nlm.nih.gov/37879283
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language English
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title Residential water and energy consumption prediction at hourly resolution based on a hybrid machine learning approach
discusses http://id.nlm.nih.gov/mesh/M0022883

Total number of triples: 24.