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Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

A hybrid statistical–machine learning framework for day-ahead electricity price forecasting in smart city environments

  • Kamran Hassanpouri Baesmat
  • Zeinab Farrokhi
  • Emma E. Regentova
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Cite

BibTeXRIS
BibTeX
@article{baesmat2026hybrid,
  title = {{A hybrid statistical–machine learning framework for day-ahead electricity price forecasting in smart city environments}},
  author = {Kamran Hassanpouri Baesmat and Zeinab Farrokhi and Emma E. Regentova},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-54383-6},
  url = {https://www.nature.com/articles/s41598-026-54383-6},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - A hybrid statistical–machine learning framework for day-ahead electricity price forecasting in smart city environments
AU  - Kamran Hassanpouri Baesmat
AU  - Zeinab Farrokhi
AU  - Emma E. Regentova
PY  - 2026
DA  - 2026/10/28
JO  - Scientific Reports
DO  - 10.1038/s41598-026-54383-6
UR  - https://www.nature.com/articles/s41598-026-54383-6
SN  - 2045-2322
ER  -