Browse > Article
http://dx.doi.org/10.3837/tiis.2019.06.001

Internet of Things based Smart Energy Management for Smart Home  

TASTAN, Mehmet (Department of Electronics & Automation, Manisa Celal Bayar University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.13, no.6, 2019 , pp. 2781-2798 More about this Journal
Abstract
Thanks to internet, as one of indispensable parts of our lives, many devices that we use in our daily lives like TV, air conditioner, refrigerator, washing machine, can be monitored and controlled remotely by becoming more intelligent via Internet of Things (IoT) technology. Smart Home applications as one of the elements of smart cities, are individually the most demanded application without question. In this study, Smart Energy Management (SEM) system, based on NodeMCU and Android, has been designed for SEM, which is a part of the smart home application. With this system, household energy consumption can be monitored in real time, as well as having the ability to record the data comprising of operation times and energy consumption information for each device. Additionally, it is ensured to meet the energy needs on a maximized level possible, during the hours when the energy costs are lower owing to the SEM system. The Android interface provides the users with the opportunity to monitor and change their electricity consumption habits in order to optimize the energy efficiency, along with the opportunity to draw up of a daily and weekly schedule.
Keywords
Internet of things; NodeMCU; android; smart energy management; smart home;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Javaid, N., Javaid, S., Abdul, W., Ahmed, I., Almogren, A., Alamri, A., and Niaz, I.A., "A hybrid genetic wind driven heuristic optimization algorithm for demand side management in smart grid," Energies, vol. 10, no. 3, pp. 319, 2017.   DOI
2 Ahmed, M.S., Mohamed, A., Khatib, T., Shareef, H., Homod, R.Z., and Ali, J.A., "Real time optimal schedule controller for household energy management system using new binary backtracking search algorithm," Energy Build., vol. 138, pp. 215-227, 2017.   DOI
3 Rasheed, M. B., Javaid, N., Ahmad, A., Khan, Z. A., Qasim, U., and Alrajeh, N., "An efficient power scheduling scheme for residential load management in smart homes," Applied Sciences, vol. 5, no. 4, pp. 1134-1163, 2015.   DOI
4 Wen, Z., O'Neill, D., and Maei, H., "Optimal demand response using device-based reinforcement learning," IEEE Transactions on Smart Grid, vol. 6, no. 5, pp. 2312-2324, 2015.   DOI
5 Hu, M., Xiao, J. W., Cui, S. C., and Wang, Y. W., "Distributed real-time demand response for energy management scheduling in smart grid," International Journal of Electrical Power & Energy Systems, vol. 99, pp. 233-245, 2018.   DOI
6 Ejaz, W., Naeem, M., Shahid, A., Anpalagan, A., and Jo, M., "Efficient energy management for the internet of things in smart cities," IEEE Com. Magazine, vol. 55, no. 1, pp. 84-91, 2017.   DOI
7 Hussain, H. M., Javaid, N., Iqbal, S., Hasan, Q. U., Aurangzeb, K., and Alhussein, M., "An Efficient Demand Side Management System with a New Optimized Home Energy Management Controller in Smart Grid," Energies, vol. 11, no. 1, pp. 190, 2018.   DOI
8 Shakeri, M., Shayestegan, M., Reza, S. S., Yahya, I., Bais, B., Akhtaruzzaman, K., Sopian, K., and Amin, N., "Implementation of a novel home energy management system (HEMS) architecture with solar photovoltaic system as supplementary source," Renewable Energy, vol. 125, pp. 108-120, 2018.   DOI
9 Lu, X., Zhou, K., Chan, F. T., and Yang, S., "Optimal scheduling of household appliances for smart home energy management considering demand response," Natural Hazards, vol. 88, no. 3, pp. 1639-1653, 2017.   DOI
10 Roselund, C., and Bernhardt, J., "Lessons learned along europe's road to renewables," IEEE Spectrum, vol. 4, 2015.
11 Ma, R., Chen, H.H., Huang, Y.R., and Meng, W., "Smart grid communication: Its challenges and opportunities," IEEE Trans. Smart Grid, vol. 4, pp. 36-46, 2013.   DOI
12 Zagan, I., Gaitan, V. G., Petrariu, A. I., and Brezulianu, A., "Healthcare IoT m-GreenCARDIO remote cardiac monitoring system--concept, theory of operation and implementation," Advances in Electrical and Computer Engineering, vol. 17, no. 2, pp. 23-31, 2017.   DOI
13 Piyare, Rajeev, "Internet of things: ubiquitous home control and monitoring system using android based smart phone," International Journal of Internet of Things, vol. 2, no. 1, pp. 5-11, 2013.
14 Khan, Murad, Bhagya Nathali Silva, and Kijun Han, "Internet of things based energy aware smart home control system," IEEE Access, vol. 4, pp. 7556-7566, 2016.   DOI
15 Al-Hassan, E., Shareef, H., Islam, M. M., Wahyudie, A., and Abdrabou, A. A., "Improved Smart Power Socket for Monitoring and Controlling Electrical Home Appliances," IEEE Access, vol. 6, pp. 49292-49305, 2018.   DOI
16 Chellamani, G. K., and Chandramani, P. V., "Demand Response Management System with Discrete Time Window using Supervised Learning Algorithm," Cognitive Systems Research, vol. 57, pp. 131-138, 2019.   DOI
17 Ram, K. S. S., and A. N. P. S. Gupta, "IoT based Data Logger System for weather monitoring using Wireless sensor networks," International Journal of Engineering Trends and Technology (IJETT), vol. 32, pp. 71-75, 2016.   DOI
18 Shrouf, Fadi, and Giovanni M., "Energy management based on Internet of Things: practices and framework for adoption in production management," Journal of Cleaner Production, vol. 100, pp. 235-246, 2015.   DOI
19 Kansara, K., Zaveri, V., Shah, S., Delwadkar, S., and Jani, K., "Sensor based Automated Irrigation System with IOT: A Technical Review," International Journal of Computer Science and Information Technologies, vol. 6, no. 6, 2015.
20 Im, H., Lee, S., Naqi, M., Lee, C., and Kim, S., "Flexible PI-Based Plant Drought Stress Sensor for Real-Time Monitoring System in Smart Farm," Electronics, vol. 7, no. 7, pp.114, 2018.   DOI
21 Gungor, V. C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C. and Hancke, G. P., "Smart grid technologies: Communication technologies and standards," IEEE transactions on Industrial informatics, vol. 7, no. 4, pp. 529-539, 2011.   DOI
22 Zanella, A., Bui, N., Castellani, A., Vangelista, L. and Zorzi, M., "Internet of things for smart cities," IEEE Internet of Things journal, vol. 1, no. 1, pp. 22-32, 2014.   DOI
23 Ashton, Kevin, "That 'internet of things' thing," RFID journal, vol 22, no.7, pp. 97-114, 2009.
24 Gubbi, J., Buyya, R., Marusic, S. and Palaniswami, M., "Internet of Things (IoT): A vision, architectural elements, and future directions," Future generation computer systems, vol. 29, no. 7, pp.1645-1660, 2013.   DOI
25 Evans, Dave, "The internet of things: How the next evolution of the internet is changing everything," CISCO, Int. J. Internet, vol. 3, no. 2, pp.123-132, 2011.
26 Yun, Miao, and Bu Yuxin, "Research on the architecture and key technology of Internet of Things (IoT) applied on smart grid," in Proc. of Advances in Energy Engineering (ICAEE), International Conference on. IEEE, 2010.
27 Harper, Richard, ed., "Inside the smart home," Springer Science & Business Media, 2006.
28 Khan, M. A., Javaid, N., Mahmood, A., Khan, Z. A., and Alrajeh, N., "A generic demand side management model for smart grid," International Journal of Energy Research, vol. 39, no. 7, pp. 954-964, 2015.   DOI
29 Basit, A., Sidhu, G. A. S., Mahmood, A., and Gao, F., "Efficient and autonomous energy management techniques for the future smart homes," IEEE Transactions on Smart Grid, vol. 8, no. 2, pp. 917-926, 2017.   DOI
30 Joo, I. Y., and Choi, D. H., "Distributed optimization framework for energy management of multiple smart homes with distributed energy resources," IEEE Access, vol. 5, pp. 15551-15560, 2017.   DOI
31 Al-Ali, A.R., Zualkernan, I.A., Rashid, M., Gupta, R., and Alikarar, M., "A smart home energy management system using IoT and big data analytics approach," IEEE Trans. Consum. Electron., vol. 63, no. 4, pp. 426-434, 2017.   DOI
32 Yoon, S. H., Kim, S. Y., Park, G. H., Kim, Y. K., Cho, C. H., and Park, B. H., "Multiple power-based building energy management system for efficient management of building energy," Sustainable Cities and Society, vol. 42, pp. 462-470, 2018.   DOI
33 Khalid R., Nadeem J., Muhammad H. R.,Sheraz A. and Arshad S., "Fuzzy energy management controller and scheduler for smart homes," Sustainable Computing: Informatics and Systems, vol. 21, pp. 103-118, 2019.   DOI
34 Rahim, S., Javaid, N., Ahmad, A., Khan, S. A., Khan, Z. A., Alrajeh, N., and Qasim, U., "Exploiting heuristic algorithms to efficiently utilize energy management controllers with renewable energy sources," Energy and Buildings, vol. 129, pp. 452-470, 2016.   DOI
35 https://www.allegromicro.com/-/../acs712-datasheet.ashx (access on 27.09.2018)