Sense uses machine learning to slash home energy consumption

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Few folks are aware of how much electricity their household consumes on a daily basis, according to the U.S. Energy Information Administration's Residential Energy Consumption Survey. Among smart meter owners in 2016, only 8 percent reported knowing that they had access to hourly or daily data, and just 4 percent said they'd viewed that data. That's all the more discouraging when you consider that always-on devices like DVRs and game consoles account for 23 percent of home energy usage -- a total of $40 billion annually nationwide. Boston-area startup Sense, which uses machine learning to provide real-time insights on electrical usage, is on a mission to effect change. It today revealed that energy management solutions firm Landis Gyr has joined Schneider Electric, Energy Impact Partners, Shell Ventures, Prelude Ventures, Capricorn Investment Group, and iRobot in bringing its series B round funding to $20 million.