A Review on Non-Intrusive Load Monitoring Using Deep Learning

Smart energy management systems have become more popular as the consumption of energy is increasing rapidly. So, in order to monitor the daily energy consumptions in real time smart meters are used. Non-intrusive load monitoring helps the users to understand the appliance level energy consumption using only the smart meter data. It’s a cost-effective way of load monitoring as only a single sensor is used. The appliance level usage pattern is used to identify the energy consumption of each device, the time for which the devices work and their energy usage pattern. The main advantage of this type of a load monitoring is that we can reduce the energy wastage and increase the efficiency of energy usage. This method uses deep neural networks, which identifies the appliance level energy consumption behavior and classifies it based on the system trained.