Perpustakaan Digital ITB

With the looming energy crisis, energy management is one of the ways to save energy. An effective energy management requires the user to be involved, thus some form of energy monitoring is needed. In this research, the IoT (Internet of Things) system which consists of a NILM (non-intrusive load monitoring) device, server, and an Android app, is used to monitor energy so that the user may devise an energy saving plan, and manage energy usage by knowing the total power consumption, status of appliances, and how many percent of total energy usage is an appliance using. The collected data is an aggregated data, therefore building an algorithm to disaggregate the data is mandatory. The first step required to build a functional system that is applicable to real problems is to test the algorithm of the system with a simulated load. Thus, the simulated load plays an important role in validating the algorithm used for the system. The energy meter PZEM 004T is attached to a main electricity source to monitor the power consumption of 4 bulbs. The data is then sent to a server using ESP8266 as the microcontroller, and processed in Node-RED, spitting out the number of appliances detected, the real power value, and the configuration along with the energy usage percentage of each appliance. Afterwards, the configuration data, and status of each appliance is sent to an energy surveillance application in real time so that the user can monitor their energy usage remotely and therefore devises an energy management plan or detect anomalies in the appliances.