Abstract: A climate controller having a control unit operable to activate and de-activate an HVAC unit, a temperature sensor and a humidity sensor operable to communicate temperature and relative humidity measurements to the control unit, and an interface to a network through which the control unit is operable to connect to a networked server and transmitting measurements for temperature and relative humidity; the control unit operable to activate and de-activate the HVAC unit according to the control unit operable to measure a temperature and humidity level, operable to obtain a value for a temperature setting and mode of operation for the HVAC unit, and operable to communicate a signal to the HVAC unit to effect the activation or de-activation. Climate control is achieved with reference to a comfort level temperature, and energy efficiency is achieved through the application of machine learning methods operated on data sets gathered by the climate controller.

Abstract: A climate controller (1), comprises a control unit (7) capable of activating and de-activating an HVAC unit (13), a temperature sensor (3) and a humidity sensor (5) capable of communicating temperature and relative humidity measurements to the control unit (7), and an interface (9) to a network (10) through which the control unit (7) is connected to a networked server (14) and transmits measurements of temperature and relative humidity; said activation and de-activation can be controlled by the control unit (7) which measures a temperature and humidity level, obtains a value for a temperature setting and mode of operation for the HVAC unit (13), and communicates a signal to the HVAC unit (13) to effect said activation and de-activation. Climate control is affected with a comfort level in preference to an absolute temperature, and energy efficiency is achieved by machine learning methods operated on data sets gathered by the climate controller (1).