A Semi-supervised Learning Method for Operating State Identification of #br# Energy Measurement Devices

doi:10.3969/j.issn.1006-2475.2020.03.016

Abstract

Abstract: In view of the negative impact of abnormal operation of measurement devices on the steady economic growth and social stability of power supply enterprises, and the current situation of incomplete identification of power grid data, a semi-supervised learning method for identifying the running state of measurement device is proposed. By analyzing the data of power grid, the operation state of measurement device can be judged under the condition of incomplete identification.

Key words: semi-supervised learning, machine learning, measurement device

CLC Number:

TP206

MA Ji-ke, YIN Fei, ZHU Yong-jin, DOU Long-long, LI Jian. A Semi-supervised Learning Method for Operating State Identification of #br# Energy Measurement Devices[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2020.03.016.

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