NodePM: A Remote Monitoring Alert System for Energy Consumption Using Probabilistic Techniques

Filho, Geraldo P R; Ueyama, Jó; Villas, Leandro A; Pinto, Alex R; Gonçalves, Vinícius P; Pessin, Gustavo; Pazzi, Richard W; Braun, Torsten (2014). NodePM: A Remote Monitoring Alert System for Energy Consumption Using Probabilistic Techniques. Sensors, 14(1), pp. 848-867. Molecular Diversity Preservation International MDPI 10.3390/s140100848

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In this paper, we propose an intelligent method, named the Novelty Detection Power Meter (NodePM), to detect novelties in electronic equipment monitored by a smart grid. Considering the entropy of each device monitored, which is calculated based on a Markov chain model, the proposed method identifies novelties through a machine learning algorithm. To this end, the NodePM is integrated into a platform for the remote monitoring of energy consumption, which consists of a wireless sensors network (WSN). It thus should be stressed that the experiments were conducted in real environments different from many related works, which are evaluated in simulated environments. In this sense, the results show that the NodePM reduces by 13.7% the power consumption of the equipment we monitored. In addition, the NodePM provides better efficiency to detect novelties when compared to an approach from the literature, surpassing it in different scenarios in all evaluations that were carried out.

Item Type: Journal Article (Original Article)
Division/Institute: 08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)
UniBE Contributor: Braun, Torsten
Subjects: 000 Computer science, knowledge & systems
ISSN: 1424-8220
Publisher: Molecular Diversity Preservation International MDPI
Language: English
Submitter: Jonnahtan Eduardo Saltarin de Arco
Date Deposited: 15 Jan 2014 16:40
Last Modified: 12 Feb 2016 16:34
Publisher DOI: 10.3390/s140100848
PubMed ID: 24399157
Uncontrolled Keywords: smart grid; wireless sensor networks; electronic equipment; energy consumption; feedback
BORIS DOI: 10.7892/boris.40000
URI: http://boris.unibe.ch/id/eprint/40000

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