Clustering Analysis for Active and Reactive Energy Consumption Data Based on AMI Measurements

Oscar A. Bustos-Brinez and Javier Rosero Garcia ()
Additional contact information
Oscar A. Bustos-Brinez: EM&D Research Group, Electrical and Electronics Engineering Department, Faculty of Engineering, Universidad Nacional de Colombia, Bogota 111321, Colombia
Javier Rosero Garcia: EM&D Research Group, Electrical and Electronics Engineering Department, Faculty of Engineering, Universidad Nacional de Colombia, Bogota 111321, Colombia

Energies, 2025, vol. 18, issue 1, 1-22

Abstract: Electrical data analysis based on smart grids has become a fundamental tool used by electrical grid stakeholders to understand the energy consumption patterns of users, although many proposals in this area do not consider reactive energy as another source of useful information regarding distribution costs and threats to the grid. In this regard, the analysis of reactive energy patterns can become an extremely useful addition to existing electrical data analysis frameworks. This work shows the application of a series of clustering techniques over measurements of both active and reactive energy consumption measured for end users from the Colombian electrical network, including an analysis of the efficiency of the network measured by calculating the ratio of active energy to total consumption (power factor) per user. This allows a detailed characterization of users to be compiled, based on the identification of different active and reactive energy consumption behaviors, which could help grid operators to improve overall grid management and to increase the efficiency of their reactive energy compensation strategies.

Keywords: energy analytics; data analysis; electrical grid management; reactive energy; power factor (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/1/221/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/1/221/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:1:p:221-:d:1561256

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().