UrjaSenseTM is an energy management and advisory software application for home owners. Its purpose is to use artificial intelligence and machine learning based algorithms to provide real-time insights into energy consumption in the overall home and each appliance in the home using electrical energy. Thus, providing evidence based advisory to home owners where they can make changes to their energy consumption behavior and time of usage of electricity so as to minimize their current electricity cost. This application is built on infrastructure that currently resides on Nebbiolo’s Fog Node and thus can be ported to it when the production version of the UrjaSense is available.

We use artificial intelligence based solutions to help you detect anomalies to prevent breakdown of your services by performing appropriate analytics on your streaming data at the edge itself so that you are immediately alerted when you need to take remedial action and know what action will be appropriate at that time. Our machine learning based anomaly detection methods provide a ready solution generating alerts at different severity levels so that effective action can be taken by the production managers. We also predict the future performance of different machine parameters based on past data.