Data analysis of energy surveys by preference aggregation method

Abstract

Systematic conducting energy surveys of power networks to identify a possible energy loss is the basis for energy saving and energy efficiency. In the paper, a preference aggregation based method is proposed to arrange the big data of instrumental investigations of auxiliary power consumption by substations of electric power distribution networks. This approach provides a compact integral ordinal scale estimate of substations' energy consumption for own needs, which can provide a rapid decision making and visualization. Application of the proposed method for processing energy survey data of real backbone electric grids of Russia is discussed.

Original language	English
Article number	202005
Journal	Journal of Physics: Conference Series
Volume	1065
Issue number	20
DOIs	https://doi.org/10.1088/1742-6596/1065/20/202005
Publication status	Published - 13 Nov 2018
Event	22nd World Congress of the International Measurement Confederation, IMEKO 2018 - Belfast, United Kingdom Duration: 3 Sep 2018 → 6 Sep 2018

ASJC Scopus subject areas

Physics and Astronomy(all)

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10.1088/1742-6596/1065/20/202005

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title = "Data analysis of energy surveys by preference aggregation method",

abstract = "Systematic conducting energy surveys of power networks to identify a possible energy loss is the basis for energy saving and energy efficiency. In the paper, a preference aggregation based method is proposed to arrange the big data of instrumental investigations of auxiliary power consumption by substations of electric power distribution networks. This approach provides a compact integral ordinal scale estimate of substations' energy consumption for own needs, which can provide a rapid decision making and visualization. Application of the proposed method for processing energy survey data of real backbone electric grids of Russia is discussed.",

author = "Borisova, {M. A.} and Muravyov, {S. V.}",

year = "2018",

month = nov,

day = "13",

doi = "10.1088/1742-6596/1065/20/202005",

language = "English",

volume = "1065",

journal = "Journal of Physics: Conference Series",

issn = "1742-6588",

publisher = "IOP Publishing Ltd.",

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note = "22nd World Congress of the International Measurement Confederation, IMEKO 2018 ; Conference date: 03-09-2018 Through 06-09-2018",

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AU - Borisova, M. A.

AU - Muravyov, S. V.

PY - 2018/11/13

Y1 - 2018/11/13

N2 - Systematic conducting energy surveys of power networks to identify a possible energy loss is the basis for energy saving and energy efficiency. In the paper, a preference aggregation based method is proposed to arrange the big data of instrumental investigations of auxiliary power consumption by substations of electric power distribution networks. This approach provides a compact integral ordinal scale estimate of substations' energy consumption for own needs, which can provide a rapid decision making and visualization. Application of the proposed method for processing energy survey data of real backbone electric grids of Russia is discussed.

AB - Systematic conducting energy surveys of power networks to identify a possible energy loss is the basis for energy saving and energy efficiency. In the paper, a preference aggregation based method is proposed to arrange the big data of instrumental investigations of auxiliary power consumption by substations of electric power distribution networks. This approach provides a compact integral ordinal scale estimate of substations' energy consumption for own needs, which can provide a rapid decision making and visualization. Application of the proposed method for processing energy survey data of real backbone electric grids of Russia is discussed.

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JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

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T2 - 22nd World Congress of the International Measurement Confederation, IMEKO 2018

Y2 - 3 September 2018 through 6 September 2018

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