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 | |
| 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 |
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ASJC Scopus subject areas
- Physics and Astronomy(all)
Cite this
Data analysis of energy surveys by preference aggregation method. / Borisova, M. A.; Muravyov, S. V.
In: Journal of Physics: Conference Series, Vol. 1065, No. 20, 202005, 13.11.2018.Research output: Contribution to journal › Conference article
}
TY - JOUR
T1 - Data analysis of energy surveys by preference aggregation method
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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UR - http://www.scopus.com/inward/citedby.url?scp=85057463868&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1065/20/202005
DO - 10.1088/1742-6596/1065/20/202005
M3 - Conference article
AN - SCOPUS:85057463868
VL - 1065
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 20
M1 - 202005
ER -