Zobrazeno 1 - 10
of 77
pro vyhledávání: '"LOU Guannan"'
Publikováno v:
电力工程技术, Vol 42, Iss 6, Pp 189-196 (2023)
In order to solve the problems such as significant frequency fluctuation and slow dynamic response under load disturbance in islanded microgrid which has a diesel generator (DG) as the primary source, an auxiliary frequency regulation method is propo
Externí odkaz:
https://doaj.org/article/8157cb564a734776a7fb996bde296341
When developing autonomous driving systems (ADS), developers often need to replay previously collected driving recordings to check the correctness of newly introduced changes to the system. However, simply replaying the entire recording is not necess
Externí odkaz:
http://arxiv.org/abs/2209.01546
Autor:
Ye, Zhigang, Chen, Chen, Liu, Ruihuan, Wu, Kai, Bie, Zhaohong, Lou, Guannan, Gu, Wei, Yuan, Yubo
Enhancing restoration capabilities of distribution systems is one of the main strategies for resilient power systems to cope with extreme events. However, most of the existing studies assume the communication infrastructures are intact for distributi
Externí odkaz:
http://arxiv.org/abs/2111.09986
We present a spatial-temporal federated learning framework for graph neural networks, namely STFL. The framework explores the underlying correlation of the input spatial-temporal data and transform it to both node features and adjacency matrix. The f
Externí odkaz:
http://arxiv.org/abs/2111.06750
Autonomous driving has shown great potential to reform modern transportation. Yet its reliability and safety have drawn a lot of attention and concerns. Compared with traditional software systems, autonomous driving systems (ADSs) often use deep neur
Externí odkaz:
http://arxiv.org/abs/2106.12233
The rapid development of artificial intelligence, especially deep learning technology, has advanced autonomous driving systems (ADSs) by providing precise control decisions to counterpart almost any driving event, spanning from anti-fatigue safe driv
Externí odkaz:
http://arxiv.org/abs/2104.01789
Autonomous driving has gained much attention from both industry and academia. Currently, Deep Neural Networks (DNNs) are widely used for perception and control in autonomous driving. However, several fatal accidents caused by autonomous vehicles have
Externí odkaz:
http://arxiv.org/abs/2012.10672
Nowadays, autonomous driving has attracted much attention from both industry and academia. Convolutional neural network (CNN) is a key component in autonomous driving, which is also increasingly adopted in pervasive computing such as smartphones, wea
Externí odkaz:
http://arxiv.org/abs/2002.02175
Publikováno v:
In International Journal of Electrical Power and Energy Systems May 2022 137
Publikováno v:
In International Journal of Electrical Power and Energy Systems February 2022 135