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Authors: Haohan Zhen ; Hua Shen ; Feng Huang and Lei Yu

Affiliation: State Grid Shanghai Electric Power Research Institute, China

ISBN: 978-989-758-312-4

Keyword(s): electric meter, site inspection, data mining

Abstract: In recent years, with the constant improvement of Power Supply Information Collection System, the data mining of power information has been deepened. Site inspection is one of the most important way to obtain the operating status of the meter. Data collected by Site inspection, which have wide coverage and strong periodicity, can accurately reflect the error of electric meters, user load, operating environment etc. Therefore, it`s necessary to include electric meters site inspection data into the source of power information mining. In this paper, the big data mining strategy of site inspection data is discussed preliminarily, which is helpful to analyse the running status of electric meters and user's electricity consumption more accurately , give full play to the role of site inspection in the operation and maintenance of the electric meter.

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Paper citation in several formats:
Zhen, H.; Shen, H.; Huang, F. and Yu, L. (2018). The Research of Electric Meter Site Inspection Data Mining.In 3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT, ISBN 978-989-758-312-4, pages 92-96. DOI: 10.5220/0006965600920096

@conference{icectt18,
author={Haohan Zhen. and Hua Shen. and Feng Huang. and Lei Yu.},
title={The Research of Electric Meter Site Inspection Data Mining},
booktitle={3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT,},
year={2018},
pages={92-96},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006965600920096},
isbn={978-989-758-312-4},
}

TY - CONF

JO - 3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT,
TI - The Research of Electric Meter Site Inspection Data Mining
SN - 978-989-758-312-4
AU - Zhen, H.
AU - Shen, H.
AU - Huang, F.
AU - Yu, L.
PY - 2018
SP - 92
EP - 96
DO - 10.5220/0006965600920096

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