Smart Thermostat Learning Capabilities and Energy Efficiency

As a homeowner with a heat pump and resistive auxiliary heat system, I’ve been curious about how smart thermostats can optimize energy usage during temperature transitions. Specifically, I’m interested in whether the thermostat can learn the time it takes to heat my home from one temperature setpoint to another, thereby avoiding the use of auxiliary heat and saving costs.

For instance, if I set my thermostat to 62°F at night and then raise it to 68°F in the morning, does the thermostat adjust the heating schedule to gradually increase the temperature, rather than immediately engaging the auxiliary heat? This gradual approach could potentially reduce energy consumption and save on heating bills.

I’d love to hear from others who have experience with this feature. Have you noticed any significant savings or improvements in comfort? Additionally, are there specific thermostat models or settings you recommend for optimizing this kind of temperature transition?

It would be great to explore whether this learning capability is widely supported across different thermostat brands and how it can be effectively utilized to enhance energy efficiency in homes. Any insights or tips would be greatly appreciated!