Incorporating Seasonal Features in Data Imputation Methods for Power Demand Time Series

Autor: Dmitrii Vasenin, Marco Pasetti, Davide Astolfi, Nikita Savvin, Stefano Rinaldi, Alberto Berizzi

Publikováno v: IEEE Access, Vol 12, Pp 103520-103536 (2024)

This paper addresses the critical issue of missing data in power demand time series by emphasizing the relevance of imputation-based approaches in data-driven technologies. A comparative analysis of imputation methods is performed, where the referenc

Externí odkaz: https://doaj.org/article/ff70544963e640f2af2d1c081e57a114

PARAMETRIC OPTIMIZATION OF THE STRUCTURE OF CONTROLLED HIGH-VOLTAGE CAPACITOR BATTERIES

Autor: Vladimir Babenko, Valery Krysanov, Dmitrii Vasenin, Alexandr Danilov

Publikováno v: Archives for Technical Sciences. 1:9-16

The article considers the issues of increasing energy efficiency of 6-10 kV controlled capacitor plants of power supply systems of energy-intensive facilities due to more accurate compensation of reactive power. Analysis of the most common circuits f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e4aff8a772219336653597d7a21b08c6
https://doi.org/10.7251/afts.2021.1324.009b

Justification of the Choice of the Generation Capacity

Autor: Olga Sotnikova, Dmitrii Vasenin, Tatyana Makarova, Marco Pasetti

Publikováno v: International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019 ISBN: 9783030574529

The energy system of our country has a complex structural organization due to unequal resources distribution. At the same time, the balance of energy generation, allocation and consumption in terms of territory to achieve energy security of regions a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5c74508c7e28d8376945515fb8acaca
https://doi.org/10.1007/978-3-030-57453-6_22