Thermocoach: Reducing Home Energy Consumption With Personalized Thermostat Recommendations
SENSYS(2015)
摘要
Thermostats have the potential for tremendous impact on global energy consumption, but unfortunately they are often not used effectively. In this paper, we present a new system called ThermoCoach that improves thermostat usability by giving personalized and actionable recommendations for thermostat use. The system senses human occupancy patterns in a home and emails the household suggested setpoint schedules that can be modified or activated with the click of a button. We performed a randomized controlled trial by deploying over 600 devices in 40 homes from 12 weeks to compare ThermoCoach with a manually programmable thermostat and the Nest learning thermostat. Results indicate that ThermoCoach saves 4.7% more energy than a manually programmable thermostat and 12.4% more energy than the Nest learning thermostat while significantly improving comfort over both approaches.
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Software,Hardware,Infrastructure
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