Analysis of Electric Energy Consumption Profiles Using a Machine Learning Approach: A Paraguayan Case Study

Analysis of Electric Energy Consumption Profiles Using a Machine Learning Approach: A Paraguayan Case Study

Correctly defining and grouping electrical feeders is of great importance for electrical system operators. In this paper, we compare two different clustering techniques, K-means and hierarchical agglomerative clustering, applied to real data from the east region of Paraguay. The raw data were pre-pr...

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Bibliographic Details
Main Authors: Félix Morales, Miguel García-Torres, Gustavo Velázquez, Federico Daumas-Ladouce, Pedro E. Gardel-Sotomayor, Francisco Gómez-Vela, Federico Divina, José Luis Vázquez Noguera, Carlos Sauer Ayala, Diego P. Pinto-Roa, Julio César Mello-Román, David Becerra-Alonso
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Electronics
Subjects:
energy
clustering
distribution network
feeder
Online Access:https://www.mdpi.com/2079-9292/11/2/267

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https://www.mdpi.com/2079-9292/11/2/267

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