Synergistic data analytics for electromechanical oscillation in electric power systems

Jiang, Tao; Kou, Xiao; Liu, Guodong; Yuan, Hao-Chih

doi:10.1016/j.ijepes.2021.107610

Cited by 4 publications

(1 citation statement)

References 55 publications

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“…In the smart grid environment, the power core data not only includes real-time data in the process of power production, transmission and consumption but also involves related information in all aspects of power grid planning, design, construction and operation, which is of great significance for the normal operation and intelligent management of power system . Data security and privacy protection are the key issues of power core data sharing and the smart grid needs to obtain accurate power core data in real time for monitoring and control [3][4]. Reference [5] puts forward a fine-grained flexible access sharing method based on blockchain.…”

Section: Introductionmentioning

confidence: 99%

Design of safe sharing method of power core data in smart grid environment

Li,

Su,

Yan

et al. 2024

J. Phys.: Conf. Ser.

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In order to ensure the effective intercommunication of information resources in the power supply chain, a safe sharing method of power core data in a smart grid environment is proposed. By constructing a feature extraction process of power core data security sharing under a smart grid, processing similar heterogeneous data based on each node center, taking the result as a standard, eliminating similar data, thereby determining the node center value and obtaining the power core data sharing encryption result, the power core data to be shared is shared so that the power core data can be shared safely. The experimental results show that the shared throughput of this method is high. It can take less time to complete the calculation in the same number of samples and it has higher running efficiency.

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Section: Introductionmentioning

confidence: 99%