What exactly makes the smart thermostat so smart? The answer is the algorithm. The algorithm hidden in the device backend software enables it to perform a variety of different functions, making it more advanced and not just communication. Especially for thermostats, algorithms tend to enable features that can optimize heating, ventilation, and air conditioning (HVAC) settings for consumers.
The intelligent thermostat algorithm is the "brain" of the thermostat that can make decisions and start the boiler based on the heating history, room temperature, set temperature, and the selected heating algorithm.
When using this algorithm, the thermostat is assumed to reach the set temperature when the difference between the setting and room temperature is within a given sensitivity threshold.
We can adjust the sensitivity threshold of the hyhysteresis algorithm in the advanced settings of the thermostat. If using a smaller threshold (0.1 °C), the thermostat will be more sensitive to the room and setpoint temperature changes. With greater thresholds, the thermostats can tolerate these temperature changes more and reduce the frequency of heating on and off.
The proportional-integral-differential (PID) heating algorithm is more intelligent than the hyhysteresis algorithm. It allows improving temperature regulation and reducing oscillations near the setpoint temperature. PID control is able to consider the specific properties of different families, such as thermal inertia, insulation and etc.
With a better response to temperature changes, advanced algorithms can better regulate the heating demand. This may lead to more frequent heating on/off cycles compared to hysteresis algorithms. So it is also very important to set an appropriate temperature accuracy value under the PID algorithm.