The Importance of Machine Learning in Home Automation

The data science team loves to say that all machine learning models are wrong. But when you have really large volumes of data and an incredibly experienced team you can work those models to accuracy, precision, recall levels where they are incredibly useful. For example some of the easier to detect signatures we can disaggregate that energy use with accuracy up to 99%. Some other end uses that are a little less prevalent, a little more hard to check like a pool punk. Maybe only accurate to 92%. But 92% to 99% accurate is pretty darn good for showing a customer. Here's what's going on in your home and here's what you should do about it.