Research, Works

Dataset: Transient dataset of household appliances with Intensive switching events

Authors Dongyang Zhang1,2, Xiaohu Zhang1 ,Lei Hua1 ,Jian Di1 , Wenqing Zhao1,3 , Yumei Ma1 Affiliations Abstract: With the development of Non-Intrusive Load Monitoring (NILM), it has become feasible to perform device identification, energy consumption decomposition, and load switching detection using Deep Learning (DL) methods. Similar to other machine learning […]

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Wenqing Zhao

Wenqing Zhao, female, Ph.D., North China Electric Power University (NCPU), is currently a professor in the Department of Computer Science of NCPU. She is a member of Imaging Detection and Perception Specialised Committee and Machine Vision Specialised Committee of the Chinese Society of Image Graphics, a member of Artificial Intelligence and Electrical Applications Specialised Committee of the Chinese Society of Electrotechnology, and an executive director of Hebei Computer Society…

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Ya Shen

Ya Shen,a steady and easy-going student studying Software Engineering at NCEPU.
My website is still a blank canvas, waiting for my brilliant ideas to paint it. Right now, I’m diving headfirst into the fascinating world of graph anomaly detection in hyperbolic space.
My motto is “The road is long and winding, but I will search high and low.” I’m keeping my zest for life alive, finding joy in the little things and letting my curiosity lead the way.

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Research, Works

Research on graph anomaly detection method based on hyperbolic space

Authors Ya Shen Affiliations Abstract: Graph node anomaly detection aims to identify anomalous nodes that deviate from regular patterns in complex networks, and the technique has important application value in the fields of cyber security, biomedicine, and social network analysis. Compared with traditional tabular data, the irregular topology of graph

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Research, Works

Research on traveling wave fault detection of heterogeneous computing platform

Authors Lei Hua Affiliations Abstract: Fault detection in power grids is a core function of smart grid systems. The increasing frequency of extreme environmental events and the continuous evolution of power consumption patterns pose long-term and complex challenges to grid stability, consequently affecting industrial operations and daily life. Developing efficient

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Ren Guan

Duty: Assistant of Departmental Lab Center Email： guanren@ncepu.edu.cn Department： Department of Computer Science, North China Electric Power University Major Area of Study： Electrical Engineering and Automation Title of Award: Bachelor of Engineering Minor Area(s) of Study: Sensor network, Software-Hardware programme, Embedded system Guan Ren is a passionate and hands-on student majoring in Electrical Engineering

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Research, Works

Design and implementation of multi-channel signal high-frequency synchronous sampling system for traveling wave fault location

Authors Ren Guan Affiliations Abstract: This project is designed and implemented based on the field programmable gate array (FPGA) and an embedded data acquisition system for traveling wave fault detection. The entire sampling system is divided into hardware and software parts. The hardware part is based on the Xilinx XC7Z020CLG400

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Member

Yaqi Song

Song Yaqi holds the title of Doctor of Engineering. He is concurrently an Associate Professor and Master’s Supervisor within the Department of Computer Science at North China Electric Power University, where his expertise significantly contributes to both teaching and research realms. Between 2018 and 2019, he broadened his academic horizons as a Visiting Scholar at Purdue University in the U.S.. In addition to his academic roles, Dr. Song is recognized as a Senior Lecturer for Alibaba Cloud’s Big Data program and is honored as an Alibaba Cloud MVP, underscoring his exceptional contributions and thought leadership in the realm of cloud technology. His expertise extends to serving as a Proposition Expert for big data contests organized by the State Grid Corporation, where his insights shape future industry challenges.

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Dongyang Zhang

Rank: Senior Engineer (Professor) / Laboratory Director Email： zhdy@ncepu.edu.cn Department： Department of Computer Science, North China Electric Power University Research： IOT (Internet of things), Intelligent hardware, circuit design, microcontroller system design, computer architecture, power system monitoring. Dongyang Zhang, a senior engineer in ‘Department of Computer Science North China Electric Power

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Dewen Wang

De-Wen Wang, born in April 1973, graduated from North China Electric Power College in July 1995 with a Bachelor’s degree in Computer Application. He received his master’s degree and PhD degree in 1998 and 2009 respectively from North China Electric Power University, majoring in power system and its automation. He has presided over or participated in more than 10 scientific and technological projects…

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