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curvas de carga (electric load curves)

October 18, 2017 | Autor: J. Pessanha | Categoría: Electrical Engineering, Statistics, Multivariate Statistics, Data Mining, Applied Statistics, Clustering and Classification Methods, Clustering Algorithms, Multivariate Data Analysis, Estatística, Clustering, Estadistica, ESTATÍSTICA APLICADA, ESTATÍSTICA MULTIVARIADA, INGENIERIA, Minería de Datos, Engenharia Elétrica, Statistiques, Big Data / Analytics / Data Mining, Mineração de dados, Estadística Para Ingenieros, Clustering and Classification Methods, Clustering Algorithms, Multivariate Data Analysis, Estatística, Clustering, Estadistica, ESTATÍSTICA APLICADA, ESTATÍSTICA MULTIVARIADA, INGENIERIA, Minería de Datos, Engenharia Elétrica, Statistiques, Big Data / Analytics / Data Mining, Mineração de dados, Estadística Para Ingenieros
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Data from paper "Construindo tipologias de curvas de carga com  o programa R" Typical load profiles of consumers and networks are essential information for determining the use rates in electric power distribution systems. It is noteworthy that the time of use tariffs are based on the hourly load profiles. This paper presents a computational implementation in R environment of the K-Means, KMedoids and Ward methods, three multivariate statistical methods for cluster analysis, useful in identifying typical daily load profiles, a critical stage in the revision of electricity tariff. This paper provides an effective and economical alternative to the construction of typologies of load curves.
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