I. Introduction
Energy management is an integral part in the development of smart sustainable cities. The increase in energy demand in recent years has resulted in an emerging need to manage the global energy consumption. Load monitoring and identification allows the determination of energy consumption and formulation of load plan strategies for optimal energy utilization [1]. The traditional approach of monitoring energy consumption of appliances using Instructive Load Monitoring (ILM) requires the installation of individual sensors on each appliance. However, the high cost, operational complexity, and difficulty of installation of sensors as well as the deployment of smart energy meters in recent years has led to a more popular approach termed Non-Instructive Load Monitoring (NILM).