Abstract
The consumption of electrical energy is important in the economy of the home and the internet of things facilitates real-time remote monitoring of electrical parameters. This document performs the analysis of electrical energy consumption in a domestic installation based on the data measured in 2 electrical distribution inputs, this information is collected automatically using a data acquisition device with an internet connection. The electrical monitor used is the Emporia Gen 2 Vue and the information collected is stored for a week in the cloud while the owners rate the activities in the home. To measure the activity level of the home, all 4 household members rate their energy use on a scale of 3 levels. The results show the graphs of electrical energy related to the levels of activity in the home. Surprisingly, the hours of high activity have slightly higher energy measurements than the measurements in the hours of medium activity, but both levels of activity have an observable difference with the hours of low activity. The final analysis allows establishing solutions to reduce the consumption of electrical energy in the home understudy.
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References
Velu, K., Arulanthu, P., Perumal, E.: Energy reduction stratagem in smart homes using association rule mining. In: Raj, J.S., Bashar, A., Ramson, S.R.J. (eds.) Innovative Data Communication Technologies and Application. LNDECT, vol. 46, pp. 188–193. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-38040-3_22
Conejo, A.J., Baringo, L., Kazempour, S.J., Siddiqui, A.S.: Transmission Expansion Planning. In: Conejo, A.J., Baringo, L., Kazempour, S.J., Siddiqui, A.S. (eds.) Investment in Electricity Generation and Transmission, pp. 21–59. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-29501-5_2
Guáitara, B., Buele, J., Salazar, F.W., VarelaAldás, J.: Prototype of a low cost turbine for the generation of clean energy in the Ecuadorian Amazon. In: Rodriguez Morales, G., Fonseca C., E.R., Salgado, J.P., PérezGosende, P., OrellanaCordero, M., Berrezueta, S. (eds.) Information and Communication Technologies. CCIS, vol. 1307, pp. 564–571. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-62833-8_41
AyalaChauvin, M., Kavrakov, B.S., Buele, J., Varel-Aldás, J.: Static reactive power compensator design, based on three-phase voltage converter. Energies 14, 2198 (2021). https://doi.org/10.3390/en14082198
Seyedzadeh, S., Rahimian, F.P., Glesk, I., Roper, M.: Machine learning for estimation of building energy consumption and performance: a review. Visual. Eng. 6(1), 1–20 (2018). https://doi.org/10.1186/s40327-018-0064-7
Ullah, I., Fayaz, M., Aman, M., Kim, D.: An optimization scheme for IoT based smart greenhouse climate control with efficient energy consumption. Computing 104, 1–25 (2021). https://doi.org/10.1007/s00607-021-00963-5
Singh, P.P., Khosla, P.K., Mittal, M.: Energy conservation in IoT-based smart home and its automation. In: Mittal, M., Tanwar, S., Agarwal, B., Goyal, L.M. (eds.) Energy Conservation for IoT Devices. SSDC, vol. 206, pp. 155–177. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-7399-2_7
Paredes‐Valverde, M.A., et al.: IntelliHome: an internet of things‐based system for electrical energy saving in smart home environment. Comput. Intell. 36, 203–224 (2020). https://doi.org/10.1111/coin.12252
Shashank, A., Vincent, R., Sivaraman, A.K., Balasundaram, A., Rajesh, M., Ashokkumar, S.: Power Analysis of Household Appliances using IoT. In: 2021 International Conference on System, Computation, Automation and Networking (ICSCAN). pp. 1–5. IEEE (2021). https://doi.org/10.1109/ICSCAN53069.2021.9526428
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Varela-Aldás, J., Miranda, M., León, J., Gallardo, C. (2022). Analysis of Electrical Energy Consumption in the Home Using IoT. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2022 – Late Breaking Posters. HCII 2022. Communications in Computer and Information Science, vol 1655. Springer, Cham. https://doi.org/10.1007/978-3-031-19682-9_71
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DOI: https://doi.org/10.1007/978-3-031-19682-9_71
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