Dimension reduction of preference profile for aggregation of energy audit data; Journal of Physics: Conference Series; Vol. 1730 : Mathematical Modeling in Physical Sciences (IC-MSQUARE)
| Parent link: | Journal of Physics: Conference Series Vol. 1730 : Mathematical Modeling in Physical Sciences (IC-MSQUARE).— 2021.— [012057, 7 p.] |
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| Riassunto: | Title screen The paper aims to improve a technique based on preference aggregation, which allows to process a big amount of data from instrumental examinations of energy losses by substations of electrical energy distribution networks. An approach to transformation of the initial preference profile into the hierarchical one is considered. The absence of the influence of such a transformation on the correctness of processing results is shown. The workability of the proposed method is demonstrated on the basis of real energy surveys using the example of the Khakass enterprise of the Backbone Electric Grids (BEGs), being a part of Siberian BEG of the Unified National Electric Network of Russia. The method makes it possible to identify sources of economically inefficient expenditure of energy resources and unjustified energy losses, and also to provide compression of large volumes of energy survey data without diminution of essential information. The proposed method allows obtaining and representing a great amount of data of instrumental survey of substation energy losses in a form of a compact integral estimate in the ordinal scale. It can be an appropriate and promising tool for organizations engaged in energy consulting. |
| Lingua: | inglese |
| Pubblicazione: |
2021
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| Accesso online: | http://earchive.tpu.ru/handle/11683/72807 https://doi.org/10.1088/1742-6596/1730/1/012057 |
| Natura: | Elettronico Capitolo di libro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665072 |
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| 200 | 1 | |a Dimension reduction of preference profile for aggregation of energy audit data |f S. V. Muravyov (Murav’ev), M. A. Borisova | |
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| 300 | |a Title screen | ||
| 320 | |a [References: 10 tit.] | ||
| 330 | |a The paper aims to improve a technique based on preference aggregation, which allows to process a big amount of data from instrumental examinations of energy losses by substations of electrical energy distribution networks. An approach to transformation of the initial preference profile into the hierarchical one is considered. The absence of the influence of such a transformation on the correctness of processing results is shown. The workability of the proposed method is demonstrated on the basis of real energy surveys using the example of the Khakass enterprise of the Backbone Electric Grids (BEGs), being a part of Siberian BEG of the Unified National Electric Network of Russia. The method makes it possible to identify sources of economically inefficient expenditure of energy resources and unjustified energy losses, and also to provide compression of large volumes of energy survey data without diminution of essential information. The proposed method allows obtaining and representing a great amount of data of instrumental survey of substation energy losses in a form of a compact integral estimate in the ordinal scale. It can be an appropriate and promising tool for organizations engaged in energy consulting. | ||
| 461 | 0 | |0 (RuTPU)RU\TPU\network\3526 |t Journal of Physics: Conference Series | |
| 463 | |t Vol. 1730 : Mathematical Modeling in Physical Sciences (IC-MSQUARE) |o 9th International Conference, 7-10 September 2020, Tinos island, Greece |v [012057, 7 p.] |d 2021 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 700 | 1 | |a Muravyov (Murav’ev) |b S. V. |c specialist in the field of control and measurement equipment |c Professor of Tomsk Polytechnic University,Doctor of technical sciences |f 1954- |g Sergey Vasilyevich |3 (RuTPU)RU\TPU\pers\31262 |9 15440 | |
| 701 | 1 | |a Borisova |b M. A. |c specialist in the field of informatics and computer technology |c Assistant of Tomsk Polytechnic University |f 1991- |g Maria Andreevna |3 (RuTPU)RU\TPU\pers\42641 | |
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| 856 | 4 | |u https://doi.org/10.1088/1742-6596/1730/1/012057 | |
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