Identificação de assinaturas de carga de eletrodomésticos residenciais em Smart Meters usando Inteligência Artificial e IoT: Implementação e testbed
DOI:
https://doi.org/10.13037/ria.vol14n1.221Abstract
A identificação de eletrodomésticos individualmente na rede elétrica residencial, prover um melhor controle do consumo e detecção de anomalias presentes em alguns desses eletrodomésticos. Essa identificação só é possível se cada eletrodoméstico tiver uma assinatura de cargas. A geração da assinatura de carga, se da através de aplicações como o medidor inteligente que fornece informações necessárias para este fim. O trabalho proposto permite a leitura e detecção de eletrodomésticos residenciais presentes na rede, através da assinatura de carga individual, utilizando medidores inteligentes juntamente com Inteligência Artificial. Alguns parâmetros elétricos importantes serão analisados e detectados de forma individual. Com auxílio do algoritmo Naive Bayes, os dados da criação de assinatura de cargas são armazenados em um banco de dados e treinados para que a identificação seja possível. Contudo, é fornecido ao consumidor uma aplicação que permite identificar e classificar qualquer equipamento existente na residência quando estiver ativo, assim como anomalias e alterações presentes na rede residencial.Downloads
References
AHMADI, H.; MARTI, J. R. Load decomposition at smart meters level using eigenloads approach. IEEE Transactions on Power Systems, IEEE, v. 30, n. 6, p. 3425-3436, 2015.
ALI, N. M. et al. Object classification and recognition using bag-of-words (bow) model. In: IEEE. 2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA). [S.l.], 2016. p. 216-220.
AMRY, Y.; GAIDI, M. E.; NACHTANE, M. Design and optimization of a smart meter to meet the growing needs of energy in morocco. In: IEEE. 2016 International Renewable and Sustainable Energy Conference (IRSEC). [S.l.], 2016. p. 1115-1118.
ASTUTI, T.; NUGROHO, H. A.; ADJI, T. B. The impact of different fold for cross validation of missing values imputation method on hepatitis dataset. In: IEEE. 2015 International Conference on Quality in Research (QiR). [S.l.], 2015. p. 51-55.
BACURAU, R. et al. Experimental investigation on the load signature parameters for nonintrusive load monitoring. Przeglad Elektrotechniczny, v. 91, n. 8, p. 86-90, 2015.
BACURAU, R. M. et al. Techniques for efficient implementation of firmware in microcontroller s based energy consumption breakdown smart meters. VIVECHAN International Journal of Research, v. 5, n. 1, 2014.
BOUHOURAS, A. S.; MILIOUDIS, A. N.; LABRIDIS, D. P. Development of distinct load signatures for higher efficiency of nilm algorithms. Electric Power Systems Research, Elsevier, v. 117, p. 163-171, 2014.
BURUNKAYA, M.; PARS, T. A smart meter design and implementation using zigbee based wireless sensor network in smart grid. In: . [S.l.]: IEEE, 2017.
CARDENAS, A.; AGBOSSOU, K.; GUZMÁN, C. Development of real-time admittance analysis system for residential load monitoring. In: IEEE. 2016 IEEE 25th International Symposium on Industrial Electronics (ISIE). [S.l.], 2016. p. 696-701.
CHEN, H.-Y. et al. Identifying variable-power appliances in non-intrusive load monitoring systems. In: IEEE. Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2016 10th International Conference on. [S.l.], 2016. p. 452-457.
DARYAPURKAR, R.; KARANDIKAR, R. Wimax for data aggregation in smart grid communication network—a review. In: IEEE. 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). [S.l.], 2017. p. 97-100.
DESHMUKH, R. S.; JAGTAP, V. A survey: Software api and database for emotion recognition. In: IEEE. 2017 International Conference on Intelligent Computing and Control Systems (ICICCS). [S.l.], 2017. p. 284-289.
DHANANJAYA, W. et al. Appliance-level demand identification through signature analysis. In: IEEE. 2015 Moratuwa Engineering Research Conference (MERCon). [S.l.], 2015. p. 70-75.
DINESH, H. et al. A subspace signature based approach for residential appliances identification using less informative and low resolution smart meter data. In: IEEE. 2014 9th International Conference on Industrial and Information Systems (ICIIS). [S.l.], 2014. p. 1-6.
ELAKSHUMI, S.; PONRAJ, A. A server based load analysis of smart meter systems. In: IEEE. 2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2). [S.l.], 2017. p. 141-144.
GOEL, A.; GAUTAM, J.; KUMAR, S. Real time sentiment analysis of tweets using naive bayes. In: IEEE. 2016 2nd International Conference on Next Generation Computing Technologies (NGCT),. [S.l.], 2016. p. 257-261.
GRUS, J. Data science from scratch: first principles with python. [S.l.]: "O'Reilly Media, Inc.", 2015.
HUI, L. Y.; LOGENTHIRAN, T.; WOO, W. Non-intrusive appliance load monitoring and identification for smart home. In: IEEE. 2016 IEEE 6th International Conference on Power Systems (ICPS). [S.l.], 2016. p. 1-6.
KABALCI, Y. A survey on smart metering and smart grid communication. Renewable and Sustainable Energy Reviews, Elsevier, v. 57, p. 302-318, 2016.
LUAN, S.-W. et al. Development of a smart power meter for ami based on zigbee communication. In: IEEE. International Conference on Power Electronics and Drive Systems, 2009. PEDS 2009. [S.l.], 2009. p. 661-665.
MINCHALA-AVILA, L. I. et al. Design and Implementation of a Smart Meter with Demand Response Capabilities. [S.l.]: IEEE, 2016. v. 103.
PAWAR, S.; MOMIN, B. Smart electricity meter data analytics: A brief review. In: IEEE. 2017 IEEE Region 10 Symposium (TENSYMP). [S.l.], 2017. p. 1-5.
PEREIRA, R. et al. Consumer energy management system with integration of smart meters. [S.l.]: IEEE, 2015. v. 1.
POYRAZOGLU, G.; OH, H. The impacts of electric power market simulation on engineering education. In: IEEE. 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D). [S.l.], 2016. p. 1-5.
PREMNATH, S. N.; HAAS, Z. J. Security and privacy in the internet-of-things under time-and-budget-limited adversary model. IEEE Wireless Communications Letters, IEEE, v. 4, n. 3, p. 277-280, 2015.
PRIYANKA, N.; VASISHT, A. Smart cities. International Journal of Engineering Science Invention, p. 43-49, 2015.
SEGARAN, T. Programming collective intelligence: building smart web 2.0 applications. [S.l.]: "O'Reilly Media, Inc.", 2008.
SELVAKUMAR, G.; KAVIYA, B. J. A survey on restful web services composition. In: IEEE. 2016 International Conference on Computer Communication and Informatics (ICCCI). [S.l.], 2016. p. 1-4.
Å ÍRA, M.; ZACHOVALOVÁ, V. N. System for calibration of nonintrusive load meters with load identification ability. IEEE Transactions on Instrumentation and Measurement, IEEE, v. 64, n. 6, p. 1350-1354, 2015.
SOUSA, T. et al. Implementação de um módulo medidor para criação de assinatura de cargas utilizando internet das coisas. In: UESPI. Anais Eletrônicos ENUCOMP 2017. [S.l.], 2017. p. 353-360. ISBN 978-85-8320-201-1.
SPANÃ’, E. et al. Last-meter smart grid embedded in an internet-of-things platform. IEEE Transactions on smart grid, IEEE, v. 6, n. 1, p. 468-476, 2015.
TONG, W. et al. A survey on intrusion detection system for advanced metering infrastructure. In: IEEE. 2016 Sixth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC). [S.l.], 2016. p. 33-37.
ULLAH, I. et al. A survey of home energy management for residential customers. In: IEEE. 2015 IEEE 29th International Conference on Advanced Information Networking and Applications (AINA). [S.l.], 2015. p. 666-673.
XU, W. et al. An event window based load monitoring technique for smart meters. p. 1-1, 2014.
YANG, S.-l.; SHEN, C. et al. A review of electric load classification in smart grid environment. Renewable and Sustainable Energy Reviews, Elsevier, v. 24, p. 103-110, 2013.
Downloads
Published
Issue
Section
License
Copyright (c) 2020 Thiago C. Sousa, Artur Felipe da Silva Veloso, Regenildo G. Oliveira, Antonio A Rodrigues, Davi L. Oliveira, Altamir J Gallas, José V. V. Sobral
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Os autores que publicam trabalhos na RIA estão de acordo com os seguintes termos:
- Autores mantêm seus direitos autorais e concedem à RIA o direito à primeira publicação. Admite-se o compartilhamento do referido trabalho, desde que seja reconhecida sua autoria e publicação inicial nesta revista.
- Autores podem fechar contratos adicionais separadamente, para distribuição não exclusiva da versão do trabalho publicado na RIA, com reconhecimento de sua autoria e publicação inicial nesta revista.
- Autores podem publicar e distribuir seu trabalho online, antes ou durante o processo editorial.
