A hybrid NSGA II-CNN-LSTM model for optimal operation of hydropower reservoirs based on the day-ahead electricity price forecast.
- DOI
- 10.1038/s41598-026-55296-0
- Published
- 2026 Jun 6
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-55296-0,
title = {A hybrid NSGA II-CNN-LSTM model for optimal operation of hydropower reservoirs based on the day-ahead electricity price forecast.},
author = {Heidarpanah M and Hooshyaripor F and Fazeli M and Goodarzi M},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-55296-0},
url = {https://doi.org/10.1038/s41598-026-55296-0}
}RIS
TY - JOUR TI - A hybrid NSGA II-CNN-LSTM model for optimal operation of hydropower reservoirs based on the day-ahead electricity price forecast. AU - Heidarpanah M AU - Hooshyaripor F AU - Fazeli M AU - Goodarzi M PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-55296-0 UR - https://doi.org/10.1038/s41598-026-55296-0 ER -
APA
M, H., F, H., M, F., & M, G. (2026). A hybrid NSGA II-CNN-LSTM model for optimal operation of hydropower reservoirs based on the day-ahead electricity price forecast.. Scientific reports. https://doi.org/10.1038/s41598-026-55296-0
Source records
- pubmed · retrieved 2026-09-26T13:31:58.903Z