Methods and apparatus for parameter based learning and adjusting temperature preferences

摘要

A method for relative temperature preference learning is described. In one embodiment, the method includes identifying one or more current settings of a thermostat located at a premises, identifying one or more current indoor and outdoor conditions, calculating a current indoor differential between the current indoor temperature and the current target temperature, calculating a current outdoor differential between the current outdoor temperature and the current target temperature, and learning temperature preferences based on an analysis of the one or more current indoor conditions and the one or more current outdoor conditions. The one or more current settings of the thermostat include at least one of a current target temperature, current runtime settings, and current airflow settings. The one or more current indoor and outdoor conditions include at least one of a current temperature, current humidity, current indoor airflow, current atmospheric pressure, current level of precipitation, and current cloud cover.