Dynamic clustering segmentation applied to load profiles of energy consumption from Spanish customers

[EN] The following article describes the work of dynamic segmentation of daily load profiles throughout years 2008 and 2009, of a representative sample of Spanish residential customers. The technique applied is classification of the energy consumption time series of load profiles by means of dynamic...

Full description

Bibliographic Details
Authors: Benítez Sánchez, Ignacio Javier, Delgado Espinos, Ignacio, Quijano-Lopez, Alfredo|||0000-0001-7916-8698, Diez, José-Luís|||0000-0002-5659-1212
Format: article
Publication Date:2014
Country:España
Institution:Universitat Politècnica de València (UPV)
Repository:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Language:English
OAI Identifier:oai:riunet.upv.es:10251/151105
Online Access:https://riunet.upv.es/handle/10251/151105
Access Level:Open access
Keyword:Dynamic clustering
Data mining
Demand side management
Load profiles
INGENIERIA ELECTRICA
INGENIERIA DE SISTEMAS Y AUTOMATICA
Description
Summary:[EN] The following article describes the work of dynamic segmentation of daily load profiles throughout years 2008 and 2009, of a representative sample of Spanish residential customers. The technique applied is classification of the energy consumption time series of load profiles by means of dynamic clustering algorithms. The techniques used and analysis performed prove adequate as a fast tool to classify clients according to their energy consumption patterns, as well as to evaluate their overall energy consumption trends at a glance. The segmentation of the energy consumption load profiles is performed, and the results are analyzed and discussed.