Smart Appliance Control and Expense Optimization System
DOI:
https://doi.org/10.63682/jns.v14i15S.4997Keywords:
DSM, DLC, LM, NILMAbstract
A new, sophisticated solution that combines real-time energy usage data from sensors implanted throughout the home with an intuitive user interface allows homeowners to monitor their energy use. The system not only presents historical data but also permits users to specify the desired electricity bill amounts, utilizing past consumption patterns to offer personalized recommendations on appliance usage. This project seeks to promote sustainable and eco-friendly living by promoting energy-conscious behavior and informed decision-making, encouraging users to achieve their desired bill amount
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G. W. Hart, “Nonintrusive appliance load monitoring,” Proc. IEEE, vol. 80, no. 12, pp. 1870–1891, Dec. 2019.
H. G. C. P. Dinesh, P. H. Perera, G. M. R. I. Godaliyadda, M. P.
B. Ekanayake, and J. B. Ekanayake, “Residential appliance monitoring based on low frequency smart meter measurements,” in Proc. IEEE Int. Conf. Smart Grid Commun. (SmartGridComm), Miami, FL, USA, Nov. 2021, pp. 878–884.
O. Parson, S. Ghosh, M. Weal, and A. Rogers, “Non-intrusive load monitoring using prior models of general appliance types,” in Proc. 26th Conf. Artif. Intell. (AAAI), 2023, pp. 356–362.
W. Wichakool, A.-T. Avestruz, R. W. Cox, and S. B. Leeb, “Modeling and estimating current harmonics of variable electronic loads,” IEEE Trans. Power Electron., vol. 24, no. 12, pp. 2803– 2811, Jan. 2017.
S. R. Shaw, S. B. Leeb, L. K. Norford, and R. W. Cox, “Nonintrusive load monitoring and diagnostics in power systems,” IEEE Trans. Instrum. Meas., vol. 57, no. 7, pp. 1445–1454, Jul. 2023.
T. Hassan, F. Javed, and N. Arshad, “An empirical investigation of V-I trajectory-based load signatures for non-intrusive load monitoring,” IEEE Trans. Smart Grid, vol. 5, no. 2, pp. 870–878, Mar. 2021.
W. Wichakool, Z. Remscrim, U. A. Orji, and S. B. Leeb, “Smart metering of variable power loads,” IEEE Trans. Smart Grid, vol. 6, no. 1, pp. 189–198, Jan. 2020.
Y.-H. Lin and M.-S. Tsai, “Non-intrusive load monitoring by novel neuro-fuzzy classification considering uncertainties,” IEEE Trans. Smart Grid, vol. 5, no. 5, pp. 2376–2384, Sep. 2014. [12] M. Hazas, A. Friday, and J. Scott, “Look back before leaping forward: Four decades of domestic energy inquiry,” IEEE Pervasive Comput., vol. 10, no. 1, pp. 13–19, Jan./Mar. 2018.
Y.-H. Lin and M.-S. Tsai, “Development of an improved time– frequency analysis-based nonintrusive load monitor for load demand identification,” IEEE Trans. Instrum. Meas., vol. 63, no. 6, pp. 1470–1483, Jun. 2022.
F. Sultanem, “Using appliance signatures for monitoring residential loads at meter panel level,” IEEE Trans. Power Del., vol. 6, no. 4, pp. 1380–1385, Oct. 2015
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