Ontology of experiment planning for obtaining a probabilistic model of single-phase electricity consumers

Autor:	V. A. Mokhov, R. G. Oganyan, T. N. Kruglova, D. V. Shaikhutdinov, A. N. Tkachev
Rok vydání:	2020
Předmět:	Computer science business.industry Statistical model Electricity Data mining Single phase Ontology (information science) business computer.software_genre computer
Zdroj:	IOP Conference Series: Materials Science and Engineering. 976:012019
ISSN:	1757-899X 1757-8981
DOI:	10.1088/1757-899x/976/1/012019
Popis:	The paper presents the rationale and the problem of forming a probabilistic model of single-phase electricity consumers. To solve the problem, the corresponding mathematical apparatus is stated and the ontology of experiment planning is developed. The applicability of the prepared ontology was demonstrated on a specific example of an open dataset from the Intelligent Systems Subcommittee (ISS) IEEE. At the same time, the authors identified the characteristic modes of energy consumption for a particular residential building and data sets for direct construction of a probabilistic model of single-phase electricity consumers with total data loss caused by filtering less than 10%.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::57a56eef32927d7bac49367adbee51f0 https://doi.org/10.1088/1757-899x/976/1/012019 Zobrazit plný text záznamu