Sense’s detection algorithm needs help with training. We (customers) want Sense to find all major home appliances promptly (water pumps, refrigerators AC/Heat units). Sense’s current algorithm has been working with my data for three days and found only three devices: 1) Dehumidifier (cycling); Aquarium water heater; 3) One of my two refrigerators.
Looking at the main power meter in the Sense web application, I see clearly when my 240V water pump starts – Sense needs to enable supervised learning mode that can take the customers’ input and focus on learning the specific pattern identified visually by a human (and additional information provided by the human) and mark it as pump.
It seems that Sense is trying to use our data to experiment with unsupervised learning – this is a great scientific goal at our (customers) expense.
I’d like to help Sense with their scientific research and experiments, but I really need my water pump be detected, so I know when it is running for too long.