A system of networked occupancy sensors and a thermostat that is controlled using data from the sensors. In a data network of occupancy sensors, the sensors (i) sense occupancy in a first space, such as a room within a building, and (ii) transmit data packets. Each of the data packets comprises an indication whose value is based in part on whether occupancy is sensed or not in the first space. The thermostat is situated in the first space and provides a control signal on an output line for controlling heating, ventilation, and air conditioning (HVAC), based on the temperature sensed by the thermostat. A controller unit comprises (i) a radio transceiver, capable of receiving the data packets, and (ii) a processor. The processor modifies the control signal on the output line of the thermostat, based in part on the value of the indication in the packets from the occupancy sensors.

An air conditioner unit may include a housing, an outdoor heat exchanger, an indoor heat exchanger, a compressor, a sterilization light assembly, and a controller. The controller may be configured to initiate a sterilizing operation. The sterilizing operation may include receiving a first command signal and directing activation of the sterilization light assembly at a first active intensity level for transmission of ultraviolet light emissions within the indoor portion in response to receiving the first command signal. The sterilizing operation may further include receiving a second command signal following the first command signal and directing activation of the sterilization light assembly at a second active intensity level for transmission of ultraviolet light emissions within the indoor portion in response to receiving the second command signal. The second active intensity level may be different from the first active intensity level.

This disclosure aims to provide a technique for improving the accuracy of prediction. A first trained model for inferring labels for measurement data is generated based on a first data set. The first data set includes: combined data that are a combination of first measurement data, which are related to a first air conditioning apparatus, and labels set for the first measurement data; and second measurement data related to the first air conditioning apparatus.

The derivation unit determines the stability of a parasympathetic nerve activity of the sleeper for each environment temperature, and derives a correspondence relationship between the environment temperature and the stability of the parasympathetic nerve activity of the sleeper. An estimation unit estimates an appropriate value of the environment temperature suitable for the sleeper based on the correspondence relationship derived by the derivation unit.

Provided is a home appliance of determining an operation command corresponding to an occupant through learning based on setting information of the home appliance according to the occupant to provide an operation satisfying all occupants. An air conditioner according to an embodiment of the disclosure includes: an outdoor unit; and an indoor unit including a heat exchanger, wherein the indoor unit includes: a communicator configured to communicate with an access point (AP); and a controller configured to receive information about a terminal connected to the access point through the communicator, and change at least one of operation temperature or an operation mode when a new terminal is connected to the access point or a terminal connected to the access point is disconnected from the access point.

A system and method for determining HVAC set points are provided. A present season is determined. An allowable temperature comfort range for each occupant in a room in a space is also determined. For each room, an energy saving set point temperature is calculated for the space based on the allowable temperature comfort range for that room. A set point temperature for the space is determined based on the energy saving set point temperatures for each of the rooms in the space. The set point temperature is provided to a thermostat or HVAC system to regulate temperature in the building.

A UV sterilization system is provided. In some embodiments, the UV sterilization system includes a first UV LED device having a LED circuit and LED emitters. The UV sterilization system can include a sensor electrically coupled to the first UV LED device, the sensor configured to interrupt the operation of the first UV LED device upon detecting movement within an air conditioning system. The UV sterilization system can include a power module electrically coupled to the sensor, where the power module is electrically coupled to a power supply of the air conditioning system. In some embodiments, the air conditioning system can include a packaged terminal air conditioner (PTAC) unit or a split-air air-conditioner system, and the UV sterilization system can be a part of the PTAC unit or split-air air-conditioning system. In some embodiments, the sensor includes a motion sensor and/or an occupancy sensor.

A method of training a comfort model used for controlling a heating, ventilation, and air-conditioning, HVAC, system. The method includes: a user device providing a plurality of user feedbacks, each of the plurality of user feedbacks is provided at a respective point in time and describes a thermal comfort of a user using the user device; at each point in time associated with the plurality of user feedbacks, each of a plurality of HVAC devices detecting running parameters; and for each of the plurality of user feedbacks: inputting the running parameters of each of the plurality of HVAC devices detected at the respective point in time into the comfort model to generate a predicted thermal comfort, determining a loss value by comparing the predicted thermal comfort with the thermal comfort described by the respective user feedback, and training the comfort model to reduce the loss value.

There is provided a method of controlling an air-conditioning system associated with a building for optimizing a plurality of building performance parameters in providing an environment with respect to a zone of the building, the method comprising: obtaining zone environmental condition information including zone temperature data associated to the zone, and cooling air temperature data associated to an air handling unit associated to the zone; obtaining, from a zone model generator, zone cooling load parameters associated to the zone with respect to a plurality of time periods and a zone thermal dynamic model; obtaining, from a scheduler, a sequence of optimal cool air supply rates with respect to a plurality of subsequent time periods with respect to the zone determined based on a multi-component cost function including a plurality of components relating to the plurality of building performance parameters; determining, based on the zone thermal dynamic model, a sequence of zone controller set-points corresponding to the sequence of optimal cool air supply rates with respect to the zone using the zone cooling load parameters, the sequence of optimal cool air supply rates, the zone temperature data and the cooling air temperature data associated to the air handling unit; and sending the sequence of zone controller set-points to a zone controller for controlling a temperature of the zone.