ListarModelización, Optimización e Inferencia Estadística (MODES) por tema "LOCI"
Mostrando ítems 1-3 de 3
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Bootstrap-LOCI data mining methodology for anomaly detection in buildings energy efficiency
(Elsevier, 2023-11)[Abtract]: An automated methodology is proposed to identify anomalies in buildings’ HVAC systems, through Local Correlation Integral (LOCI) algorithm, improved by Bootstrap to obtain a rule from its score distribution. ... -
Case Study of Anomaly Detection and Quality Control of Energy Efficiency and Hygrothermal Comfort in Buildings
(2019)[Abstract] The aim of this work is to propose different statistical and machine learning methodologies for identifying anomalies and control the quality of energy efficiency and hygrothermal comfort in buildings. ... -
Local Correlation Integral Approach for Anomaly Detection Using Functional Data
(MDPI, 2023-02-06)[Abstract]: The present work develops a methodology for the detection of outliers in functional data, taking into account both their shape and magnitude. Specifically, the multivariate method of anomaly detection called ...