Intelligent power flow control of AC/DC hybrid transmission corridors using safe reinforcement learning agents
H
Haifeng Li
(School of Marine Sciences, Sun Yat-sen University)
Z
Zhiwei Wang
(International Joint Research Laboratory of Nano-Micro Architecture Chemistry, Institute of Theoretical Chemistry and College of Chemistry)
T
Tao Jin
(Department of Chemistry, University of Basel, St. Johanns-Ring 19, Basel 4056, Switzerland)
L
Lin Liu
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 1, Issue 1
Published
July 20, 2026
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (4)
H
Haifeng Li
School of Marine Sciences, Sun Yat-sen University
Z
Zhiwei Wang
International Joint Research Laboratory of Nano-Micro Architecture Chemistry, Institute of Theoretical Chemistry and College of Chemistry
T
Tao Jin
Department of Chemistry, University of Basel, St. Johanns-Ring 19, Basel 4056, Switzerland
L
Lin Liu
Related Articles from this Journal
AI models of unstable flow exhibit hallucination
Ramdhan Wibawa, Birendra Jha
Aug 2026
10.1038/s41598-026-64023-8
The MCAA-YOLO + XPBI integrated model provides a hybrid intelligent measurement method for predicting the body weight of Hu sheep
Hang Zhang, Yuang Cheng et al.
Aug 2026
10.1038/s41598-026-64075-w
Application of iron nano-biofertilizers as a sustainable approach to enhance growth and micronutrient uptake in soybean
Ava Mohrazi, Reza Ghasemi-Fasaei
Aug 2026
10.1038/s41598-026-66011-4
Adolescents’ status-dependent public and private conformity to prosocial and antisocial decisions in a public goods game
Niloofar Saeedi, Khatereh Borhani et al.
Aug 2026
10.1038/s41598-026-64831-y
An explainable hierarchical capsule network framework for supporting expert sensory evaluation of herbal medicines with natural language generation
Hyein Lee, Dae-Hyun Jung
Aug 2026
10.1038/s41598-026-64156-w