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

Autor(es)

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]

Afiliação do(s) autor(es)

^[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

• Tipo de documento: Artigo Científico
• Fonte: SENSORS; v. 14, n. 1, p. 848-867, JAN 2014.
• Citações Web of Science: 12

Resumo

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)

• Processo FAPESP: 12/22550-0 - Explorando a abordagem sensor web e o sensoriamento participatório no monitoramento de rios urbanos
• Beneficiário: Jó Ueyama
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 08/57870-9 - Instituto de Sistemas Embarcados Críticos (ISEC)
• Beneficiário: Jose Carlos Maldonado
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 12/11206-6 - Um sistema inteligente de alerta para o monitoramento remoto do consumo de energia elétrica usando redes de sensores sem fio e computação em nuvem
• Beneficiário: Geraldo Pereira Rocha Filho
• Modalidade de apoio: Bolsas no Brasil - Mestrado