An Operational Framework for Effective Energy Management in Smart Homes Based on the Internet of Things

The purpose of this study is to design an operational framework for effective energy management in smart homes, based on the Internet of Things. In this study, in order to achieve the research objectives, different factors and parameters affecting energy management and optimization in the virtual Internet of Things (IoT) layer in the smart home environment were examined, first. Based on the findings, we designed an integrated taxonomic approach and. Then, based on the developed analytical perspective, we classified the energy management evaluation criteria and metrics. Finally, an operational framework for effective energy management in smart homes was designed based on the combinational Deep Neural Networks (DNN) technique. For this purpose, the model of integrating smart activities in effective energy management in a smart home on the IoT platform was used. The analysis of the proposed research perspective in the form of evaluating the factors affecting metropolitan smartization and increasing the performance of smart systems was carried out in the form of developing twenty-five tasks in smart homes by simulating operations in the CupCarbon environment. The level of efficiency achieved by effectively managing and optimizing energy consumption in smart homes in the IoT layers using blending and mutation operators was able to provide better results than some previous models proposed in the field of IoT.