Sense is a residential energy monitoring system developed in Massachusetts that uses machine learning to identify individual appliance signatures within a home's overall electrical consumption. The device clamps onto a home's electrical panel and within weeks learns to disaggregate total energy usage into individual device-level consumption — washing machine, refrigerator, HVAC, and more. This granular eco-feedback enables homeowners to identify energy-wasting behaviours and inefficient appliances in real time through a smartphone app. Studies of Sense users show average energy savings of 5-15% following installation, driven by heightened awareness of consumption patterns. The product steers behaviour not through restriction but through visibility: users report being surprised by standby power consumption and adjusting habits accordingly. Sense's approach exemplifies how intelligent resource monitoring can extend product lifespans by helping users identify failing appliances before complete breakdown, enabling preventive maintenance and informed replacement decisions rather than reactive disposal.
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SENSE SMART HOME ENERGY MONITOR
Focus | SYSTEM Cycle | TECHNICAL X1 | REUSE Business Model | PRODUCT ORIENTED Material Flow | CIRCULAR