A missing-data-robust hybrid neural network for photovoltaic power forecasting using improved Golden Jackal optimization
- DOI
- 10.21203/rs.3.rs-10827664/v1
- Published
- 2026-08-27
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- Not recorded
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-10827664/v1,
title = {A missing-data-robust hybrid neural network for photovoltaic power forecasting using improved Golden Jackal optimization},
author = {Meijun Liu and Haibin Wu and Lei Qin and Shang Liu and Rui Cheng and Lijuan Chen},
year = {2026},
doi = {10.21203/rs.3.rs-10827664/v1},
url = {https://doi.org/10.21203/rs.3.rs-10827664/v1}
}RIS
TY - JOUR TI - A missing-data-robust hybrid neural network for photovoltaic power forecasting using improved Golden Jackal optimization AU - Meijun Liu AU - Haibin Wu AU - Lei Qin AU - Shang Liu AU - Rui Cheng AU - Lijuan Chen PY - 2026 DO - 10.21203/rs.3.rs-10827664/v1 UR - https://doi.org/10.21203/rs.3.rs-10827664/v1 ER -
APA
Liu, M., Wu, H., Qin, L., Liu, S., Cheng, R., & Chen, L. (2026). A missing-data-robust hybrid neural network for photovoltaic power forecasting using improved Golden Jackal optimization. https://doi.org/10.21203/rs.3.rs-10827664/v1
Source records
- crossref · retrieved 2026-09-26T09:45:11.036Z