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Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Comparative evaluation of traditional, machine learning, deep learning, and hybrid models for short-term wind speed forecasting in Colombo, Sri Lanka

  • Hiruni Navodya Kudagama
  • Sameera Dhananjaya Viswakula
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Cite

BibTeXRIS
BibTeX
@article{kudagama2026comparative,
  title = {{Comparative evaluation of traditional, machine learning, deep learning, and hybrid models for short-term wind speed forecasting in Colombo, Sri Lanka}},
  author = {Hiruni Navodya Kudagama and Sameera Dhananjaya Viswakula},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-74835-3},
  url = {https://www.nature.com/articles/s41598-026-74835-3},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Comparative evaluation of traditional, machine learning, deep learning, and hybrid models for short-term wind speed forecasting in Colombo, Sri Lanka
AU  - Hiruni Navodya Kudagama
AU  - Sameera Dhananjaya Viswakula
PY  - 2026
DA  - 2026/10/14
JO  - Scientific Reports
DO  - 10.1038/s41598-026-74835-3
UR  - https://www.nature.com/articles/s41598-026-74835-3
SN  - 2045-2322
ER  -