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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Filho, Geraldo P. R. [1] ; Ueyama, Jo [1] ; Villas, Leandro A. [2] ; Pinto, Alex R. [3] ; Goncalves, Vinicius P. [1] ; Pessin, Gustavo [4] ; Pazzi, Richard W. [5] ; Braun, Torsten [6]
Total Authors: 8
[1] Univ Sao Paulo, Inst Math & Comp Sci, BR-13566590 Sao Carlos, SP - Brazil
[2] Univ Estadual Campinas, Inst Comp, BR-13083852 Campinas, SP - Brazil
[3] Sao Paulo State Univ, Dept Comp Sci & Stat, BR-15054000 Sao Jose Do Rio Preto, SP - Brazil
[4] Vale Inst Technol, BR-66055090 Belem, PA - Brazil
[5] Univ Ontario Inst Technol, Fac Business & Informat Technol, Oshawa, ON 2000 - Canada
[6] Univ Bern, Inst Comp Sci & Appl Math, CH-3012 Bern - Switzerland
Total Affiliations: 6
Document type: Journal article
Source: SENSORS; v. 14, n. 1, p. 848-867, JAN 2014.
Web of Science Citations: 12

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. (AU)

FAPESP's process: 12/22550-0 - Exploiting the sensor web and participatory sensing approaches for urban river monitoring
Grantee:Jó Ueyama
Support Opportunities: Regular Research Grants
FAPESP's process: 08/57870-9 - Critical Embedded Systems Institute
Grantee:Jose Carlos Maldonado
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 12/11206-6 - A smart alert system for remote monitoring of energy consumption using wireless sensor networks and cloud computing
Grantee:Geraldo Pereira Rocha Filho
Support Opportunities: Scholarships in Brazil - Master