Francis, AntonyMadhusudhanan, SheemaJose, Arun CyrilMalekian, Reza2024-10-032024-10-032023Francis, A., Madhusudhanan, S., Jose, A.C. et al. 2023, 'An intelligent IoT-based home automation for optimization of electricity use', Przeglad Elektrotechniczny, vol. 99, no. 9, pp. 123-127. DOI: 10.15199/48.2023.09.23.0033-2097 (print)2449-9544 (online)10.15199/48.2023.09.23http://hdl.handle.net/2263/98480The world is gearing towards renewable energy sources, due to the numerous negative repercussions of fossil fuels. There is a need to increase the efficiency of power generation, transmission, distribution, and use. The proposed work intends to decrease household electricity use and provide an intelligent home automation solution with ensembled machine learning algorithms. It also delivers organized information about the usage of each item while automating the use of electrical appliances in a home. Experimental results show that with XGBoost and Random Forest classifiers, electricity usage can be fully automated at an accuracy of 79%, thereby improving energy utilization efficiency and improving quality of life of the user.en© Wydawnictwo SIGMA. This article is published in Open Access mode.Smart home automationEnsembledMachine learning algorithmsMicrocontrollerProximity sensorsSowa kluczoweAutomatyka domowaOptymalizacja zuycia energiiMikrokontrolerCzujniki zblienioweSDG-07: Affordable and clean energyInternet of Things (IoT)Article