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.
|Journal||Journal of Physics: Conference Series|
|Publication status||Published - 3 Feb 2021|
|Event||9th International Conference on Mathematical Modeling in Physical Sciences, IC-MSQUARE 2020 - Tinos Island, Virtual, Greece|
Duration: 7 Sep 2020 → 10 Sep 2020
ASJC Scopus subject areas
- Physics and Astronomy(all)