no code implementations • 20 Jul 2023 • Yafang Zheng, Lei Lin, Shuangtao Li, Yuxuan Yuan, Zhaohong Lai, Shan Liu, Biao Fu, Yidong Chen, Xiaodong Shi
Inspired by this, we propose LRF, a novel \textbf{L}ayer-wise \textbf{R}epresentation \textbf{F}usion framework for CG, which learns to fuse previous layers' information back into the encoding and decoding process effectively through introducing a \emph{fuse-attention module} at each encoder and decoder layer.
no code implementations • 21 Dec 2021 • Dingwei Wang, Yuxuan Yuan, Rui Cheng, Zhaoyu Wang
This paper develops a data-driven approach to accurately predict the restoration time of outages under different scales and factors.
no code implementations • 2 Aug 2021 • Rong Yan, Yuxuan Yuan, Zhaoyu Wang, Guangchao Geng, Quanyuan Jiang
The basic idea is to learn the distribution of random walks both over a real-world system and across each phase of line segments, capturing the underlying local properties of an individual real-world distribution network and generating specific synthetic networks accordingly.
no code implementations • 11 May 2021 • Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang
Smart meters (SMs) are being widely deployed by distribution utilities across the U. S.
no code implementations • 28 Feb 2021 • Yifei Guo, Yuxuan Yuan, Zhaoyu Wang
The knowledge of distribution grid models, including topologies and line impedances, is essential to grid monitoring, control and protection.
no code implementations • 4 Dec 2020 • Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang, Fankun Bu
To maintain monitoring accuracy, the two levels exchange boundary information with each other at the secondary nodes, including transformer voltages (first layer to second layer) and active/reactive total power injection (second layer to first layer).
Computational Efficiency Hierarchical Reinforcement Learning
no code implementations • 4 Dec 2020 • Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang, Fankun Bu
A novel aspect of the proposed approach is that it takes multi-source evidence and the complex structure of distribution systems into account using a probabilistic graphical method.
no code implementations • 4 Oct 2020 • Yuxuan Yuan, Zhaoyu Wang, Yanchao Wang
One essential application is the use of PMU data for real-time event identification.
no code implementations • 1 Sep 2020 • Fankun Bu, Kaveh Dehghanpour, Yuxuan Yuan, Zhaoyu Wang, Yifei Guo
In most cases, PVs are installed behind-the-meter (BTM), and only the net demand is recorded.
no code implementations • 17 Jun 2020 • Yuxuan Yuan, Yifei Guo, Kaveh Dehghanpour, Zhaoyu Wang, Yanchao Wang
A large-scale deployment of phasor measurement units (PMUs) that reveal the inherent physical laws of power systems from a data perspective enables an enhanced awareness of power system operation.
no code implementations • 8 Oct 2019 • Zixiao Ma, Zhaoyu Wang, Yuxuan Yuan, Tianqi Hong
Higher-level controller design and stability analysis of such high-order systems are usually intractable and computation-costly.