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This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Alvaro Zambrano
Universidad Nacional de Colombia
Computer Science & IT Electrical & Electronics Engineering

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Measurement and Analysis with KPIs based on an AMI system Kevin Morgado; Álvaro Zambrano; Javier Rosero Garcia
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 10, No 4: December 2022
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v10i4.3864

Abstract

This paper presents the development of a series of key performance indicators (KPI´s) for the electrical system of the campus of the National University of Colombia based on the deployed smart metering infrastructure (AMI). In order to develop the proposed indicators, it was necessary to use different sources of information to complement the data provided by the AMI system. For each of the proposed indicators is presented the way in which each selected indicator is calculated, and an analysis of the behavior obtained for each KPI. It was possible to observe how, based on the results obtained from the different indicators proposed, periods of inefficiency in terms of electricity consumption were identified. Finally, the conclusions obtained during the development of the project are presented.
Characterization of electricity demand based on energy consumption data from Colombia Santiago Toledo-Cortés; Juan Sebastián Lara; Alvaro Zambrano; Fabio Augusto González Osorio; Javier Rosero Garcia
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i5.pp4798-4809

Abstract

The development of dynamic energy distribution grids to optimize energy resources has become very important at the international level in recent years. A very important step in this development is to be able to characterize the population based on their consumption behaviour. However, traditional consumption meters that report information at a monthly rate provide little information for in-depth analysis. In Colombia, this has changed in recent years due to the implementation and integration of advanced metering infrastructure (AMI). This infrastructure allows to record consumption values in small time intervals, and the available data then allows for the execution of many analysis mechanisms. In this paper we present an analysis of the electricity demand profile from a new dataset of energy consumption in Colombia. A characterization of the users demand profiles is presented using a k-means clustering procedure. Whit this customer segmentation technique we show that is possible identify customer consumption patterns and to identify anomalies in the system. In addition, this type of analysis also allows to assess changes in the consumption pattern of users due to social measures such as those resulting from the coronavirus disease (COVID-19) pandemic.
Co-Authors Fabio Augusto González Osorio Javier Rosero Garcia Juan Sebastián Lara Kevin Morgado Santiago Toledo-Cortés