This section introduces edge analytics for energy appliance detection. Edge analytics plays a crucial role in analysing data at the source, enhancing efficiency and reducing cost of storing huge datasets. Our detection models use machine learning algorithms to identify and monitor energy appliances in real-time, providing benefits such as energy optimisation and predictive maintenance. By deploying these models at the edge, we gather data directly from appliances, enabling cost savings and improved efficiency.