Deep learning framework for predicting measurement error drift in smart meter sensors under harsh coastal environments

Tianfu Huang

Open source

DOI: 10.1371/journal.pone.0355304
Published: 2026-08-05
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0355304,
  title = {Deep learning framework for predicting measurement error drift in smart meter sensors under harsh coastal environments},
  author = {Tianfu Huang},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0355304},
  url = {https://doi.org/10.1371/journal.pone.0355304}
}

RIS

TY  - JOUR
TI  - Deep learning framework for predicting measurement error drift in smart meter sensors under harsh coastal environments
AU  - Tianfu Huang
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0355304
UR  - https://doi.org/10.1371/journal.pone.0355304
ER  -

APA

Huang, T. (2026). Deep learning framework for predicting measurement error drift in smart meter sensors under harsh coastal environments. PLOS One. https://doi.org/10.1371/journal.pone.0355304

Source records

crossref · retrieved 2026-11-10T10:21:51.303Z