Temperature sensor calibration using recurrent network

A device in a building control system, the device comprising:

• a first temperature sensor configured to generate a first temperature measurement that is indicative of ambient temperature of the device;
• a relay configured to control an amount of electrical energy powering the device;
• a display configured to provide a user interface to a user of the device;
• and
• a processing circuit comprising a second temperature sensor configured to generate a second temperature measurement that is indicative of a temperature of the processing circuit, the processing circuit configured to:
• obtain the first temperature measurement from the first temperature sensor;
• obtain the second temperature measurement from the second temperature sensor;
• determine a brightness level associated with the display;
• determine a state of the relay;
• provide the first temperature measurement, the second temperature measurement, the brightness level, and the state of the relay as input to a neural network;
• and
• determine the ambient temperature of the device based on an output of the neural network.

A method for determining ambient temperature of a device in a building control system, the method comprising:

• obtaining a first temperature measurement from a first temperature sensor of the device, the first temperature sensor configured to measure the ambient temperature;
• obtaining a second temperature measurement from a second temperature sensor of the device, the second temperature sensor configured to measure a temperature of a processing circuit of the device;
• determining a brightness level associated with a display of the device;
• providing the first temperature measurement, the second temperature measurement, and the brightness level as input to a neural network;
• and
• determining the ambient temperature based on an output of the neural network.