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- W4313183046 abstract "The voltage adjustment process is currently done manually by resident staff. As such, voltage regulation based on human judgement not only entails great uncertainty about voltage stabilization but also makes efficient operation in consideration of the economic feasibility of power facilities impossible. Therefore, this paper proposes an automatic voltage stabilization system that can automatically perform voltage adjustment. The proposed system predicts the required input capacity, and then predicts the optimal adjustment method considering the efficiency of power facility operation by adding an optimization process. In addition, through the development of UI, it is possible to visualize the operation of the algorithm and effectively communicate the prediction of the model to the user." @default.
- W4313183046 created "2023-01-06" @default.
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- W4313183046 date "2022-01-01" @default.
- W4313183046 modified "2023-09-24" @default.
- W4313183046 title "Development of Automatic Voltage Stabilization System for Substation Using Deep Learning" @default.
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- W4313183046 doi "https://doi.org/10.1007/978-981-19-4132-0_14" @default.
- W4313183046 hasPublicationYear "2022" @default.
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