Mar 10, 2022 · This paper firstly analyses the risk of sensitive data in power system, then studies the identification process of sensitive data in power system.
Several important issues on dynamic equivalent identification are studied, including disturbance type, disturbance place, comparison with theoretical ...
In recent years, the methods based on deep learning has been widely used in the identification and protection of sensitive information in power systems. We ...
Jun 1, 2024 · This study proposes a sensitive energy data identification model and technologies for structured datasets based on theoretical knowledge such as ...
It is necessary to further study the identification and alarm of structured sensitive data based on power business data, so as to realize the accurate.
A concept of sensitive line set is presented in this paper, aiming to enhance the ability of resilient power system to prevent and resist the external ...
Data Protection. Conference Paper. Research and application of sensitive data intelligent identification technology in power grid data protection. November ...
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This paper focuses on identifying voltage sag-sensitive loads within unknown load type or when the load is already in operation.
May 20, 2024 · This paper explores the role of machine learning and feature selection algorithms. A realistic case study involving 2 years of synthetic grid data.
May 8, 2024 · We propose a transferable Sensitive Data Identification method based on Product Quantization, named PQ-SDI.