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

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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Bibliographic Details
Main Authors: Dacian I. Jurj, Levente Czumbil, Bogdan Bârgăuan, Andrei Ceclan, Alexis Polycarpou, Dan D. Micu
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
data cleaning
demand response
baseline electricity consumption
outliers
local outlier factor (LOF)
interquartile range (IQR)
Online Access:https://www.mdpi.com/1424-8220/21/9/2946

Internet

https://www.mdpi.com/1424-8220/21/9/2946

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