Day-ahead electricity price forecasting using WPT, VMI, LSSVM-based self adaptive fuzzy kernel and modified HBMO algorithm.

Syah R, Rezaei M, Elveny M, Majidi Nezhad M, Ramdan D, Nesaht M, Davarpanah A

DOI: 10.1038/s41598-021-96501-6
Published: 2021 Aug 30
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.1038/s41598-021-96501-6,
  title = {Day-ahead electricity price forecasting using WPT, VMI, LSSVM-based self adaptive fuzzy kernel and modified HBMO algorithm.},
  author = {Syah R and Rezaei M and Elveny M and Majidi Nezhad M and Ramdan D and Nesaht M and Davarpanah A},
  year = {2021},
  journal = {Scientific reports},
  doi = {10.1038/s41598-021-96501-6},
  url = {https://doi.org/10.1038/s41598-021-96501-6}
}

RIS

TY  - JOUR
TI  - Day-ahead electricity price forecasting using WPT, VMI, LSSVM-based self adaptive fuzzy kernel and modified HBMO algorithm.
AU  - Syah R
AU  - Rezaei M
AU  - Elveny M
AU  - Majidi Nezhad M
AU  - Ramdan D
AU  - Nesaht M
AU  - Davarpanah A
PY  - 2021
JO  - Scientific reports
DO  - 10.1038/s41598-021-96501-6
UR  - https://doi.org/10.1038/s41598-021-96501-6
ER  -

APA

R, S., M, R., M, E., M, M. N., D, R., M, N., & A, D. (2021). Day-ahead electricity price forecasting using WPT, VMI, LSSVM-based self adaptive fuzzy kernel and modified HBMO algorithm.. Scientific reports. https://doi.org/10.1038/s41598-021-96501-6

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pubmed · retrieved 2026-09-26T00:40:23.621Z