Global population growth has led to a substantial increase in energy demand. Consequently, it is imperative for households and commercial buildings to have access to detailed energy consumption data to plan and implement efficient usage and cost-saving measures. The primary goal of this chapter is to present a user-friendly technology capable of remotely switching appliances on and off. In this study, smart plugs were identified as a viable solution, offering direct and real-time access to the energy use data and enabling remote appliance management via a smartphone application. The appliance sample population consisted of six power-electronic-related home appliances connected to the smart plug for one hour: a fan heater, an iron, a light bulb, a hot plate, a refrigerator, and a laptop. To determine energy cost, parameters of interest included current, voltage, power, and energy and the applicable energy tariff. The functionality and performance of the prototype were assessed by comparing the data collected using a digital multimeter (DMM) with that from the prototype. The null hypothesis, which stipulated equality between the two data sets, was accepted. Furthermore, the prototype data set exhibited lower variance and a more concentrated distribution than the DMM-measured set, indicating that the developed smart metering system’s delivers highly reliable accuracy.