Custom Outlier Detection for Electrical Energy Consumption Data Applied in Case of Demand Response in Block of Buildings

The aim of this paper is to provide an extended analysis of the outlier detection, using probabilistic and AI techniques, applied in a demo pilot demand response in blocks of buildings project, based on real experiments and energy data collection with detected anomalies. A numerical algorithm was cr...

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Detalles Bibliográficos
Autores principales: Jurj, Dacian I., Czumbil, Levente, Bârgăuan, Bogdan, Ceclan, Andrei, Polycarpou, Alexis, Micu, Dan D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122780/
https://www.ncbi.nlm.nih.gov/pubmed/33922298
http://dx.doi.org/10.3390/s21092946

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122780/
https://www.ncbi.nlm.nih.gov/pubmed/33922298
http://dx.doi.org/10.3390/s21092946

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