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Akademický článek

Distributed state estimation of active distribution network considering false data injection attack

Autor: HUANG Chongxin, HONG Minglei, FU Shuai, DENG Song

Publikováno v: 电力工程技术, Vol 3, Iss 45, Pp 22-31 (2022)

As a key link to ensure the quality of power grid monitoring data,the state estimation provides a reliable data basis for the energy management system. Considering the problems of the large measurement errors and the vulnerability to the cyberattacks

Externí odkaz: https://doaj.org/article/416dd1a89a5c4318bd349e0a6dbfc59c

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Coupling of hole double quantum dot in planar germanium to a microwave cavity

Autor: Kang, Yuan, Li, Zong-Hu, Kong, Zhen-Zhen, Li, Fang-Ge, Hao, Tian-Yue, Wei, Ze-Cheng, Deng, Song-Yan, Wang, Bao-Chuan, Li, Hai-Ou, Wang, Gui-Lei, Guo, Guang-Can, Cao, Gang, Guo, Guo-Ping

Publikováno v: Phys. Rev. Applied 22, 024054 (2024)

In recent years, notable progress has been made in the study of hole qubits in planar germanium, and circuit quantum electrodynamics (circuit QED) has emerged as a promising approach for achieving long-range coupling and scaling up of qubits. Here, w

Externí odkaz: http://arxiv.org/abs/2310.08145

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Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction

Autor: Liang, Cheng, Huang, Teng, He, Yi, Deng, Song, Wu, Di, Luo, Xin

User behavior data produced during interaction with massive items in the significant data era are generally heterogeneous and sparse, leaving the recommender system (RS) a large diversity of underlying patterns to excavate. Deep neural network-based

Externí odkaz: http://arxiv.org/abs/2212.13879

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Highly-Accurate Electricity Load Estimation via Knowledge Aggregation

Autor: Ding, Yuting, Wu, Di, He, Yi, Luo, Xin, Deng, Song

Mid-term and long-term electric energy demand prediction is essential for the planning and operations of the smart grid system. Mainly in countries where the power system operates in a deregulated environment. Traditional forecasting models fail to i

Externí odkaz: http://arxiv.org/abs/2212.13913

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Akademický článek

Gene expression programming function mining based upon grid

Autor: DENG Song, WANG Ru-chuan

Publikováno v: Tongxin xuebao, Pp 69-74 (2008)

The concepts of success rate of function mining,weak correlation and merger of function consistency were proposed.On the basis of these,gene expression programming function mining based on grid（GEPFM-Grid） was put forward.By extensive experiment

Externí odkaz: https://doaj.org/article/89f9958a7c774974b057981e8eeeee95

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