A cooling system (100) has a housing (101), a heat exchanger (110) and an air distribution controller (120). The housing (101) including an inlet (102) for receiving air exhausted from the server module and an outlet (103) for providing air to the server module. The heat exchanger (110) is mounted between the inlet (102) and the outlet (103), the heat exchanger (110) is configured that a refrigerant (111) contained in the heat exchanger (110) exchanges heat with air passing through the heat exchanger (110). The heat exchanger (110) accepts variation of the refrigerant liquid level. The air distribution controller (120) is mounted in an inlet side of the heat exchanger (110). The air distribution controller (120) has a movable plate which allows an airflow profile from the inlet to the heat exchanger (110) redirected. The air distribution controller (120) controls the airflow profile depending on the liquid level.

An air quality adjustment system includes an adsorption-desorption portion that adsorbs a target substance in air and desorbs the target substance adsorbed by the adsorption-desorption portion. The adsorption-desorption portion accumulates an energy in adsorbing the target substance and releases, in desorbing the target substance, at least part of the energy accumulated.

An air conditioner and a method for controlling an air conditioner are provided. The air conditioner may include a case that forms a space therein with an open lower side; a panel that is disposed at lower side of the case, and has an inlet and a plurality of outlets disposed around the inlet; a fan that is disposed in the case; a plurality of wind adjuster that is disposed in each of the plurality of outlets, and adjusts a direction of air flowing through each of the plurality of outlets; a camera that obtains an image of an indoor space; and a controller that controls the plurality of wind adjusters based on image information obtained from the camera. The controller may divide the plurality of outlets into a first area outlet and a second area outlet, and adjust each of the plurality of wind adjusters so that airflows of air discharged through the first area outlet and airflows of air discharged through the second area outlet are formed differently.

An air conditioner unit includes a variable speed compressor for circulating refrigerant through refrigeration loop and a controller configured to initiate an operating cycle, start a compressor transition timer, and determine an unfiltered compressor speed. The unfiltered compressor speed is fixed based on the selected operating mode until the compressor transition timer reaches a predetermined transition delay time, after which the unfiltered compressor speed is determined using a closed loop feedback control algorithm. The controller is further configured to operating the variable speed compressor at a target compressor speed that is modified from the unfiltered compressor speed based on the identification of a speed modification condition, such as a dehumidification deficiency a speed restriction, or the identification of one or more resonance avoidance zones.

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.

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.

Systems and methods for characterization of retrofit opportunities are described. Some embodiments are directed to methods for determining the air leakage rate of a building, and accordingly, for determining suitability of sealing of air leaks to improve the energy efficiency of a building. The methods may comprise computing, using at least one computing device disposed remote from a building and based at least in part on heating, ventilation and air conditioning (HVAC) runtime data associated with the building, one or more thermal characteristics of the building. The HVAC runtime data may be computed based on data received from a thermostat or a meter, such as an electric or a gas meter. To isolate the impact of air leakage, subsets of the HVAC runtime data at time intervals selected to have substantially the same conditions, but different wind speeds, may be computed.

A thermostat for a building zone includes at least one of a model predictive controller and an equipment controller. The model predictive controller is configured to obtain a cost function that accounts for a cost of operating HVAC equipment during each of a plurality of time steps, use a predictive model to predict a temperature of the building zone during each of the plurality of time steps, and generate temperature setpoints for the building zone for each of the plurality of time steps by optimizing the cost function subject to a constraint on the predicted temperature. The equipment controller is configured to receive the temperature setpoints generated by the model predictive controller and drive the temperature of the building zone toward the temperature setpoints during each of the plurality of time steps by operating the HVAC equipment to provide heating or cooling to the building zone.

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.