Lei Hua

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 […]

Research on traveling wave fault detection of heterogeneous computing platform Find more»

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

Dataset: Transient dataset of household appliances with Intensive switching events Find more»

Member

Lei Hua, a passionate and curious student studying Software Engineering at NCEPU.

My website showcases a wide range of interests and research in various fields, spanning software and hardware, computing and communications, design and production. These demonstrate my ability to provide innovative solutions to real-world problems.

My goal is to explore interdisciplinary intersections and contribute to scientific and societal progress.

Lei Hua Find more»