Case study of anomaly detection and quality control of energy efficiency and hygrothermal comfort in buildings

Conference Object

Abstract: The aim of this work is to propose different statistical and machine learning methodologies for iden

Palabras claves:

Anomaly detection, Energy efficiency, feature selection, functional data analysis, HVAC, industry 4.0, LOCI, ReliefF, Statistical Quality Control

Autores:

Bolón-Canedo V., Eiras-Franco C., Fernández-Casal R., Miguel Flores, Naya S., Tarrío-Saavedra J., Zaragoza S.

Fuentes:

google

scopus