Optimized hybrid neural hierarchical interpolation time series with STL for flow forecasting in hydroelectric power plants.
- DOI
- 10.1038/s41598-025-34847-x
- Published
- 2026 Jan 10
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-34847-x,
title = {Optimized hybrid neural hierarchical interpolation time series with STL for flow forecasting in hydroelectric power plants.},
author = {Muniz RN and Buratto WG and Gonzalez GV and Seman LO and Costa VJ and Nied A},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-025-34847-x},
url = {https://doi.org/10.1038/s41598-025-34847-x}
}RIS
TY - JOUR TI - Optimized hybrid neural hierarchical interpolation time series with STL for flow forecasting in hydroelectric power plants. AU - Muniz RN AU - Buratto WG AU - Gonzalez GV AU - Seman LO AU - Costa VJ AU - Nied A PY - 2026 JO - Scientific reports DO - 10.1038/s41598-025-34847-x UR - https://doi.org/10.1038/s41598-025-34847-x ER -
APA
RN, M., WG, B., GV, G., LO, S., VJ, C., & A, N. (2026). Optimized hybrid neural hierarchical interpolation time series with STL for flow forecasting in hydroelectric power plants.. Scientific reports. https://doi.org/10.1038/s41598-025-34847-x
Source records
- pubmed · retrieved 2026-09-25T18:39:42.447Z