A thermostat device may use one or two temperature sensors inside the housing of the thermostat device to perform temperature compensation to determine the ambient temperature outside the housing of the thermostat device. Processing circuitry of the thermostat device may determine a current operating mode of the thermostat device out of a plurality of operating modes. The processing circuitry may also use machine learning to estimate the current and voltage of the thermostat device based on temperature differences between the two temperature sensors. The processing circuitry may determine, based at least in part on the estimated current and voltage of the thermostat device and the current operating mode of the thermostat device, an ambient temperature outside the housing of the thermostat device.

A plurality of active filter devices (41, 42, 43) that each have an output connected to a harmonic-generating load device (2) and are capable of generating a compensating current for performing at least one of reduction of a harmonic current of the harmonic-generating load device (2) and improvement of the power factor of the fundamental wave are provided. The plurality of active filter devices (41, 42, 43) provide two or more types of capacities, and the number and combination of operating active filter devices among the active filter devices (41, 42, 43) change in accordance with the magnitude of the compensating current.

A system is provided and includes a first controller, a non-transitory computer-readable medium and a second controller. The first controller is configured to control operation of at least one compressor circuit including one or more compressors. The non-transitory computer-readable medium is configured to store instructions of a stage profiler for execution by the controller. The instructions include: determining a target system capacity profile for the at least one compressor circuit; determining system stage capacities for stages of the at least one compressor circuit; selecting some of the system stage capacities based on the target system capacity profile to provide an available system capacity profile; generating modulation information based on the available system capacity profile and a load request signal; and controlling operation of the one or more compressors based on the modulation information and according to the available system capacity profile.

A heating, ventilation, and air conditioning (HVAC) control device is configured to record a plurality of actual occupancy statuses, to determine a plurality of corresponding predicted occupancy statuses, and to compare the plurality of predicted occupancy statuses to the plurality of actual occupancy statuses. The device is further configured to identify conflicting occupancy statuses based on the comparison. A conflicting occupancy status indicates a difference between an actual occupancy status and a corresponding predicted occupancy status. The device is further configured to identify timestamps corresponding with the conflicting occupancy statuses, to identify historical occupancy statuses corresponding with the identified timestamps, and to update the conflicting occupancy statuses in the predicted occupancy schedule with the historical occupancy statuses.

An air conditioning system and a method for controlling an air conditioning system are provided. The air conditioning system may determine loads for each indoor unit of a plurality of indoor units considering capacities of the plurality of indoor units, a length of an indoor unit pipe connected from a pump to each indoor unit, and map the plurality of indoor units and a plurality of pumps based on the determined loads.

A control system has an air conditioner that communicates with a file server via a network. The file server includes a lifestyle log in which information associating lifestyle information indicating a lifestyle with a control method of the air conditioner is accumulated. A first control-operation functional unit operates the air conditioner based on a first control request acquired from a first device. A second control-operation functional unit selects a control method from the lifestyle log based on a second control request acquired from a second device with higher functionality than the first device, and operates the air conditioner using the selected control method.

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 housing may define an indoor portion and an outdoor portion. The housing may further define an exhaust outlet downstream from the indoor portion to exhaust air therefrom. The sterilization light assembly may be disposed within the indoor portion. The controller may be in operable communication with the indoor fan and the sterilization light assembly. The controller may be configured to initiate a sterilizing operation. The sterilizing operation may include directing activation of the indoor fan to motivate air through the indoor portion, detecting activation of the indoor fan to motivate air through the indoor portion, and directing activation of the sterilization light assembly to transmit an ultraviolet light emission within the indoor portion based on detected activation of the indoor fan.

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.

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.

A control system for a HVAC system for a structure and including a blower that flows air over an indoor heat exchanger. The control system may include a first input device, a first sensor, and a processor in electronic communication with the first input device, the first sensor, and the blower of the HVAC system. The first input device may be operable to accept a zoning mode selection. The first sensor may be sensor operable to measure a first temperature at a first location within the structure. The processor may be programmed to determine a cooling or heating demand on the HVAC system based on an input temperature and the first measured temperature. The processor may be further programmed to adjust an air flow rate produced by the blower based on the demand on the HVAC system and the zoning mode selection.