KEDformer: Knowledge extraction seasonal trend decomposition for long-term sequence prediction.

Qin Z, Wei B, Gao C, Ni J

DOI: 10.1371/journal.pone.0335047
Published: 2025
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0335047,
  title = {KEDformer: Knowledge extraction seasonal trend decomposition for long-term sequence prediction.},
  author = {Qin Z and Wei B and Gao C and Ni J},
  year = {2025},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0335047},
  url = {https://doi.org/10.1371/journal.pone.0335047}
}

RIS

TY  - JOUR
TI  - KEDformer: Knowledge extraction seasonal trend decomposition for long-term sequence prediction.
AU  - Qin Z
AU  - Wei B
AU  - Gao C
AU  - Ni J
PY  - 2025
JO  - PloS one
DO  - 10.1371/journal.pone.0335047
UR  - https://doi.org/10.1371/journal.pone.0335047
ER  -

APA

Z, Q., B, W., C, G., & J, N. (2025). KEDformer: Knowledge extraction seasonal trend decomposition for long-term sequence prediction.. PloS one. https://doi.org/10.1371/journal.pone.0335047

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pubmed · retrieved 2026-09-26T17:01:51.437Z