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  • 标题:Design, Aggregation and Analysis of Power Consumption Data using the Jump Process
  • 本地全文:下载
  • 作者:Yazid Hambally Yacouba ; Amadou Diabagaté ; Michel Babri
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2021
  • 卷号:12
  • 期号:5
  • 页码:554
  • DOI:10.14569/IJACSA.2021.0120567
  • 出版社:Science and Information Society (SAI)
  • 摘要:This work aims to seek a pragmatic approach to assess electricity consumption at the level of households, buildings and neighborhoods. The main concern consists in proposing aggregation methods based on jump process according to a customer environment that is intrinsically linked to the implementation of a centralized system. The aim of the approach is to present data aggregations that derive their basis from a data model in order to facilitate the processing of electricity data at different scales of analysis. Such a smart meter data management process merits the design of an aggregated database that can store data for a house, a building and a neighborhood. The advantage of this system lies in the facilitation of data interpretation and the ability to guide decision-makers in the management of electricity consumption. An analysis of the behavior of electricity consumption is also proposed based on the monitoring of the electricity consumption of the various devices connected to a smart meter.
  • 关键词:Design; aggregation; analysis; jump process; electricity consumption; smart meter
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