Abstract
In view of the shortage of frequency electric energy meter on-site inspection, a predicting evaluation method is proposed to improve the on-site inspection strategy of the electric energy meter. This method based on the data of electrical information acquisition system extracts the relevant state variables, and establishes the evaluation model, and gives the strategy of on-site inspection of electric energy meters under different conditions. A calculation example proves its validity.
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Li, J., Xing, D., Xue, W., Gao, L., Zhou, M., Zhang, B. (2019). Study on the Application of Big Data Analysis on the Electric Power Meter Inspection. In: Sugumaran, V., Xu, Z., P., S., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2019. Advances in Intelligent Systems and Computing, vol 929. Springer, Cham. https://doi.org/10.1007/978-3-030-15740-1_47
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DOI: https://doi.org/10.1007/978-3-030-15740-1_47
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