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Always Learning: Data Science at Work

Sense2019-07-19
sense#home#energy#automation#smart#iot#solar
1K views|4 years ago
💫 Short Summary

The data scientist demonstrates device discovery and model building using electrical signals to detect appliances in a home. Wattage tracks reveal distinct energy consumption patterns for appliances like dryers and washing machines. Pulse patterns indicate specific device operations, such as motors and heat elements. Heating cycles in appliances like ovens, washing machines, dryers, and microwaves are shown, highlighting their distinctive heat patterns and on/off cycles. The analysis offers insights into household appliances' functioning based on heat cycling patterns, akin to an orchestra playing in harmony.

✨ Highlights
📊 Transcript
Process of device discovery and model building using electrical signals in a home.
01:35
Examples of wattage tracks for appliances like electric dryers and washing machines show distinct energy consumption patterns.
Pulse patterns indicate the operation of specific devices, such as motors and heat elements.
Analysis of wattage tracks helps identify activities of different appliances running simultaneously, similar to an orchestra playing different instruments in harmony.
Patterns of heating cycles in household appliances.
06:01
The video showcases the unique heat patterns of ovens, washing machines, dryers, and microwaves.
Each appliance operates on and off cycles based on their heating mechanisms.
The segment ends with the completion of laundry and food tasks, marked by the microwave turning off.
The analysis offers a deeper understanding of how household appliances function through their heat cycling patterns.