no code implementations • 27 Feb 2024 • Rui Cheng, Wanqing Cui
Existing two-stream models for image-text matching show good performance while ensuring retrieval speed and have received extensive attention from industry and academia.
no code implementations • 23 Jun 2023 • Rui Cheng, Naihao Shi, Zhaoyu Wang, Zixiao Ma
This proposed SDNet OPF model can be easily embedded into existing primary distribution network (PDNet) OPF models, resulting in a holistic power system decision-making solution for integrated primary-secondary distribution networks.
no code implementations • 5 May 2023 • Salish Maharjan, Prashant Tiwari, Rui Cheng, Zhaoyu Wang
Stochastic controllers are perceived as a promising solution for techno-economic operation of distribution networks having higher generation uncertainties at large penetration of renewables.
no code implementations • 19 Apr 2023 • Salish Maharjan, Rui Cheng, Zhaoyu Wang
Hence, this paper enhances the scope of analytical estimation of sensitivity matrices for unbalanced networks with 1-phase, 2-phase, and 3-phase Delta/Wye-connected loads, DERs with smart inverter functionality, and substation/line step-voltage regulators (SVR).
no code implementations • 10 Sep 2022 • Naihao Shi, Rui Cheng, LiMing Liu, Zhaoyu Wang, Qianzhi Zhang
Finally, a distributed consensus-based solution, based on the alternating direction method of multipliers (ADMM), for the AARVVC is applied to decide the inverter reactive power adjustment rule with respect to its active power.
no code implementations • 18 Jun 2022 • Rui Cheng, Naihao Shi, Salish Maharjan, Zhaoyu Wang
To this end, this paper proposes an automatic self-adaptive local voltage control (ASALVC) by locally controlling VAr outputs of distributed energy resources.
no code implementations • 11 Jan 2022 • Rui Cheng, Zhaoyu Wang, Yifei Guo, Qianzhi Zhang
It utilizes a non-diagonal symmetric positive definite matrix, developed from the Hessian matrix of the objective, to scale the gradient, and thus a fast convergence performance can be expected in this Newton-like algorithm.
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 • 14 Dec 2021 • Yijin Zhou, Fu Li, Yang Li, Youshuo Ji, Guangming Shi, Wenming Zheng, Lijian Zhang, Yuanfang Chen, Rui Cheng
Moreover, motivated by the observation of the relationship between coarse- and fine-grained emotions, we adopt a dual-head module that enables the PGCN to progressively learn more discriminative EEG features, from coarse-grained (easy) to fine-grained categories (difficult), referring to the hierarchical characteristic of emotion.
no code implementations • 27 Oct 2021 • Rui Cheng, Zhaoyu Wang, Yifei Guo, Fankun Bu
The results show that the allocations of solar PV have the most significant effect on the CVR performance, where a dispersed allocation of solar PV will help flatten voltage profile and achieve deeper voltage reductions at the substation, less energy consumption and line losses.
no code implementations • 14 Oct 2021 • Fankun Bu, Rui Cheng, Zhaoyu Wang
In this paper, we have come up with a novel two-layer approach to disaggregate the unknown PV generation and native demand from the known hourly net demand data recorded by smart meters: 1) At the aggregate level, the proposed approach separates the total PV generation and native demand time series from the total net demand time series for customers with PVs.
no code implementations • 27 Mar 2021 • Rui Cheng, Zhaoyu Wang, Yifei Guo
The non-linearity and non-convexity of power flow models and the phase coupling challenge the analysis and optimization of unbalanced distribution networks.
no code implementations • 4 Feb 2020 • Huabin Wang, Rui Cheng, Jian Zhou, Liang Tao, Hon Keung Kwan
First, a spatial transformer - generative adversarial network which consists of convolutional layers and residual units is utilized to solve the initialization issues caused by face detectors, such as rotation and scale variations, to obtain improved face bounding boxes for face alignment.
1 code implementation • EMNLP 2018 • Shaobo Liu, Rui Cheng, Xiaoming Yu, Xue-Qi Cheng
Meanwhile, dynamic memory network (DMN) has demonstrated promising capability in capturing contextual information and has been applied successfully to various tasks.