• Bootstrap-LOCI data mining methodology for anomaly detection in buildings energy efficiency 

      Tobar, Andrés; Flores, Miguel; Castillo-Páez, Sergio; Naya, Salvador; Zaragoza, Sonia; Tarrío-Saavedra, Javier (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. ...
    • Constructing a Control Chart Using Functional Data 

      Flores, Miguel; Naya, Salvador; Fernández-Casal, Rubén; Zaragoza, Sonia; Raña, Paula; Tarrío-Saavedra, Javier (MDPI AG, 2020-01-02)
      [Abstract] This study proposes a control chart based on functional data to detect anomalies and estimate the normal output of industrial processes and services such as those related to the energy efficiency domain. Companies ...
    • Control y detección de anomalías de confort térmico y eficiencia energética en edificios a partir de variables autocorreladas 

      Barbeito, Inés; Zaragoza, Sonia; Tarrío-Saavedra, Javier; Naya, Salvador (Sociedad Española de Estadística e Investigación Operativa, 2023)
      [Resumen]: En este trabajo se presenta, de una forma intuitiva, paso por paso, la metodología propuesta en el artículo “Assessing thermal comfort and energy efficiency in buildings by statistical quality control for ...