Smart Monitoring of Energy Consumption in Residential Environment using IoT
Abstract
Energy waste in Brazil has been growing in recent years and one reason for this increase is the fact that the end-user is usually unaware of the amount of energy consumed by their home appliances. On the other hand, the Internet of Things (IoT) brings concepts, such as smart objects with their data collection and analysis, which can help end-users in the identification of their home appliances' energy consumption. Therefore, this work proposes an intelligent monitoring system capable of discovering the devices connected to the power grid in real-time. Using a smart device, installed in the power grid, our proposed system extracts the consumption characteristics of the appliances and send them to a classification algorithm in the cloud. We performed controlled experiments to evaluate the proposed solution and, as a result, all appliances connected to the power grid were identified, allowing the end-users to monitor their home energy consumption.
Keywords:
Energy Consumption, Smart Monitoring, IoT
References
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Andrade, R. M., Carvalho, R. M., de Araújo, I. L., Oliveira, K. M., and Maia, M. E. (2017). What changes from ubiquitous computing to internet of things in interaction evaluation? In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 10291 LNCS, pages 3–21.
Atzori, L., Iera, A., and Morabito, G. (2010). The internet of things: A survey. Computer Networks, 54(15):2787–2805.
Azevedo, G. T., Romao, E. C., and Menegatti, C. R. (2019). Correção de distorções harmônicas em sistemas elétricos através de interferência destrutiva. Revista Brasileira de Ensino de Física, 41(3).
Bandyopadhyay, S., Sengupta, M., Maiti, S., and Dutta, S. (2011). Role of middleware for internet of things: A study. International Journal of Computer Science and Engineering Survey, 2(3):94–105
Gaikwad, P. P., Gabhane, J. P., and Golait, S. S. (2015). A survey based on Smart Homes system using Internet-of-Things. In 4th IEEE Sponsored International Conference on Computation of Power, Energy, Information and Communication, ICCPEIC 2015, pages 330–335. IEEE.
Gubbi, J., Buyya, R., Marusic, S., and Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7):1645–1660.
Hunkeler, U., Truong, H. L., and Stanford-Clark, A. (2008). MQTTS - A publish/subscribe protocol for wireless sensor networks. In 3rd IEEE/CreateNet International Conference on Communication System Software and Middleware, COMSWARE, pages 791–798. IEEE.
Jacobs, G. and Maun, J. C. (2019). Identifying washing machine consumption in supervised global electric consumption. In 2019 IEEE Milan PowerTech, PowerTech 2019. Institute of Electrical and Electronics Engineers Inc.
Ma, M., Lin, W., Zhang, J., Wang, P., Zhou, Y., and Liang, X. (2017). Discover the fingerprint of electrical appliance: Online appliance behavior learning and detection in smart homes. In Proc. Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) 2017 IEEE SmartWorld, Ubiquitous Intelligence Computing, Advanced Trusted Computed, Scalable Computing Communications, Cloud Big Data Computing, pages 1–8.
Santos, B. P., Silva, L., Celes, C., Borges, J. B., Neto, B. S. P., Vieira, M. A. M., Vieira, L. F. M., Goussevskaia, O. N., and Loureiro, A. (2016). Internet das coisas: da teoria à prática. Minicursos SBRC-Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos.
Semwal, S., Shah, G., and Prasad, R. S. (2014). Identification residential appliance using NIALM. In 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2014, pages 1–6. IEEE.
Temneanu, M. (2014). Appliance characterization based on spectral components analysis. In 2014 International Conference and Exposition on Electrical and Power Engineering (EPE), pages 710–714. IEEE.
Wu, X., Han, X., Liu, L., and Qi, B. (2018). A load identification algorithm of frequency domain filtering under current underdetermined separation. IEEE Access, 6:37094–37107.
Yokotani, T. and Sasaki, Y. (2017). Comparison with HTTP and MQTT on required network resources for IoT. In ICCEREC 2016 – International Conference on Control, Electronics, Renewable Energy, and Communications 2016, Conference Proceedings, pages 1–6. IEEE.
Zhuang, M., Shahidehpour, M., and Li, Z. (2019). An Overview of Non-Intrusive Load Monitoring: Approaches, Business Applications, and Challenges. In 2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings, pages 4291–4299. Institute of Electrical and Electronics Engineers Inc
Published
2020-06-30
How to Cite
SEVERINO, Valdenir; VASCONCELOS, Danilo; ANDRADE, Rossana.
Smart Monitoring of Energy Consumption in Residential Environment using IoT. In: PROCEEDINGS OF BRAZILIAN SYMPOSIUM ON UBIQUITOUS AND PERVASIVE COMPUTING (SBCUP), 12. , 2020, Cuiabá.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 31-40.
ISSN 2595-6183.
DOI: https://doi.org/10.5753/sbcup.2020.11209.
