Autonomous policy evolution and decision robustness in hybrid learning-optimization frameworks for energy systems with distributed renewables
- DOI
- 10.1038/s41598-026-50532-z
- Published
- 2026-05-06
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-50532-z,
title = {Autonomous policy evolution and decision robustness in hybrid learning-optimization frameworks for energy systems with distributed renewables},
author = {Yongle Zheng and Shiqian Wang and Zhongfu Tan and Yihan Zhang and Peng Li and Yijun Jiang and Huixuan Li and Hongkai Zhang},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-50532-z},
url = {https://doi.org/10.1038/s41598-026-50532-z}
}RIS
TY - JOUR TI - Autonomous policy evolution and decision robustness in hybrid learning-optimization frameworks for energy systems with distributed renewables AU - Yongle Zheng AU - Shiqian Wang AU - Zhongfu Tan AU - Yihan Zhang AU - Peng Li AU - Yijun Jiang AU - Huixuan Li AU - Hongkai Zhang PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-50532-z UR - https://doi.org/10.1038/s41598-026-50532-z ER -
APA
Zheng, Y., Wang, S., Tan, Z., Zhang, Y., Li, P., Jiang, Y., Li, H., & Zhang, H. (2026). Autonomous policy evolution and decision robustness in hybrid learning-optimization frameworks for energy systems with distributed renewables. Scientific Reports. https://doi.org/10.1038/s41598-026-50532-z
Source records
- crossref · retrieved 2026-09-27T05:05:34.999Z