Monitoring home appliances from power readings with ML Google Cloud Blog

As the popularity of home automation and the cost of electricity grow around the world, energy conservation has become a higher priority for many consumers. With a number of smart meter devices available for your home, you can now measure and record overall household power draw, and then with the output of a machine learning model, accurately predict individual appliance behavior simply by analyzing meter data. For example, your electric utility provider might send you a message if it can reasonably assess that you left your refrigerator door open, or if the irrigation system suddenly came on at an odd time of day. In this post, you'll learn how to accurately identify home appliances' (e.g. Once the algorithm identifies an appliance's operating status, we can then build out a few more applications.