A fast risk assessment method for power balance under extreme weather conditions based on deep reinforcement learning with a coupled attention mechanism
- DOI
- 10.1371/journal.pone.0359101
- Published
- 2026-10-08
- Container
- PLOS One
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0359101,
title = {A fast risk assessment method for power balance under extreme weather conditions based on deep reinforcement learning with a coupled attention mechanism},
author = {Wang Hang and Sun Shouheng and Li Yiming and Li Baoju and Cong Yu and Xu Meiyue and HeXiang Niu},
year = {2026},
journal = {PLOS One},
doi = {10.1371/journal.pone.0359101},
url = {https://doi.org/10.1371/journal.pone.0359101}
}RIS
TY - JOUR TI - A fast risk assessment method for power balance under extreme weather conditions based on deep reinforcement learning with a coupled attention mechanism AU - Wang Hang AU - Sun Shouheng AU - Li Yiming AU - Li Baoju AU - Cong Yu AU - Xu Meiyue AU - HeXiang Niu PY - 2026 JO - PLOS One DO - 10.1371/journal.pone.0359101 UR - https://doi.org/10.1371/journal.pone.0359101 ER -
APA
Hang, W., Shouheng, S., Yiming, L., Baoju, L., Yu, C., Meiyue, X., & Niu, H. (2026). A fast risk assessment method for power balance under extreme weather conditions based on deep reinforcement learning with a coupled attention mechanism. PLOS One. https://doi.org/10.1371/journal.pone.0359101
Source records
- crossref · retrieved 2026-11-10T09:16:23.154Z