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A Time-Series Treatment Method to Obtain Electrical Consumption Patterns for Anomalies Detection Improvement in Electrical Consumption Profiles

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A Time-Series Treatment Method to Obtain Electrical Consumption Patterns for Anomalies Detection Improvement in Electrical Consumption Profiles

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Serrano-Guerrero, X.; Escrivá-Escrivá, G.; Luna-Romero, S.; Clairand, J. (2020). A Time-Series Treatment Method to Obtain Electrical Consumption Patterns for Anomalies Detection Improvement in Electrical Consumption Profiles. Energies. 13(5):1-23. https://doi.org/10.3390/en13051046

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Título: A Time-Series Treatment Method to Obtain Electrical Consumption Patterns for Anomalies Detection Improvement in Electrical Consumption Profiles
Autor: Serrano-Guerrero, Xavier Escrivá-Escrivá, Guillermo Luna-Romero, Santiago Clairand, Jean-Michel
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica
Fecha difusión:
Resumen:
[EN] Electricity consumption patterns reveal energy demand behaviors and enable strategY implementation to increase efficiency using monitoring systems. However, incorrect patterns can be obtained when the time-series ...[+]
Palabras clave: Electricity consumption profiles , Electricity consumption patterns , Building management systems , Outlier detection , Time-series treatment
Derechos de uso: Reconocimiento (by)
Fuente:
Energies. (eissn: 1996-1073 )
DOI: 10.3390/en13051046
Editorial:
MDPI AG
Versión del editor: https://doi.org/10.3390/en13051046
Código del Proyecto:
info:eu-repo/grantAgreement/UPS//6602277-01/
Tipo: Artículo

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