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Статистический анализ графиков электропотребления для выявления закономерностей формирования режимов потребления в частном жилом секторе

Статистический анализ графиков электропотребления для выявления закономерностей формирования режимов потребления в частном жилом секторе

Abstract

Рассмотрены характерные режимы электропотребления в частных жилых домах, необходимые для оценки пропускной способностью электрических сетей, а также расчет на примере деревни Ипполитовка Чечерского района, где анализируются временные ряды данных электропотребления. Статистическая обработка данных включает удаление нерепрезентативных домов, заполнение пропусков и исключение выбросов. На основе однофакторного дисперсионного анализа выявлены значимые различия между потребителями в том числе с однофазным и трехфазным подключением. Представлены типовые профили потребления для однофазной нагрузки и выявленные особенности потребления для трехфазных потребителей. This study examines typical modes of electricity consumption in private homes, which are necessary for assessing the capacity of electrical networks. The example of the village of Ippolitovka in the Chechersk district is considered, where time series of electricity consumption data are analyzed. Statistical data processing includes the removal of unrepresentative houses, filling in gaps and eliminating outliers. Based on one-factor dispersion analysis, significant differences between consumers, including those with single-phase and three-phase connections, are revealed. Typical consumption profiles for single-phase loads and the identified consumption features for three-phase consumers are presented.

Keywords

Single-phase load, Heat map, Network capacity, Тепловая карта, Электропотребление, Дисперсионный анализ, Electricity consumption, Пропускная способность сети, Частные дома, Three-phase load, Dispersion analysis, Трехфазная нагрузка, Private houses, Однофазная нагрузка

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green