Systems and methods are configured to control operation of an HVAC system providing climate control for a zone of a structure. In various embodiments, a constrained optimization problem is performed to set control commands for controlling operation of the HVAC system to achieve one or more objectives while providing a supply air flow at an air temperature and a humidity ratio for the zone at a future time. For instance, the optimization problem may include a cost function having constraints based on a desired temperature setpoint and a humidity ratio for the zone. A value is set for each control command based on the performance of the constrained optimization problem to achieve at least one of the objectives and as a result, the supply air flow at the air temperature and humidity ratio is provided by the HVAC system at the future time to the zone based on the values.

Provided are embodiments that include a system for performing humidity analytics. The system includes an air conditioning system, and one or more sensors operably coupled to the air conditioning system, and a computing server including an HVAC analytics engine operably coupled to the air conditioning system, the HVAC analytics engine configured to actively monitor the air conditioning system based at least in part on data from the one or more sensors over a period of time, and a processor. The processor is configured to monitor moisture characteristics, receive inputs from the one or more sensors to perform a humidity calculation, perform the humidity calculation based on the received inputs from the one or more sensors, and track the humidity calculation over a period of time. Embodiments also include methods for performing humidity analytics.

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.

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.

An air conditioner is provided. The air conditioner includes a heat exchange module, at least one humidity sensor, and a controller. The heat exchange module includes a compressor, a first heat exchanger, an expansion valve, a second heat exchanger, and an absorbent disposed on an outer surface of the first and second heat exchangers. The controller is configured to control to stop a normal operation and perform a drying operation for supplying air to any one of the first and second heat exchangers serving as an evaporator when it is determined that a predetermined drying operation condition is satisfied based on humidity information of air passed through the any one of the first and second heat exchangers serving as the evaporator, during the normal operation in which the any one of the first and second heat exchangers serves as an evaporator and the other serves as a condenser.

During an initial period of time, an HVAC controller stores a record of an energy demand of the HVAC system that corresponds to an amount of energy used to operate the HVAC system. For a future time period, an anticipated energy demand of the HVAC system is determined. The controller then recursively determines, for each of a plurality of time points within the future time period, an anticipated indoor humidity value using the anticipated energy demand and the record of the energy demand. The HVAC system is operated based at least in part on the anticipated indoor humidity value.

A ventilation unit is for ventilating an indoor space, and incorporates an air cleaning device and mechanical restrictor for controlling a restriction to a flow resulting from a pressure differential across the unit. There is determination of the inside and outside air pressures in the vicinity of the unit and of air quality parameters inside and outside. The air cleaning device and the mechanical restrictor are controlled in dependence on the determined air pressures and air quality parameters. This provides a fan-less, and hence low-power ventilation unit, which relies on throttling the natural air flow across the unit to provide flow control, and hence enable control of air quality. The air cleaning device may be operated only when the flow is into the inside space, saving power.

A method of controlling a heating, ventilation, and air-conditioning, HVAC, system. The method includes: controlling indoor environmental conditions using the HVAC system, detecting a load of the HVAC system, inputting detected indoor environmental conditions and detected outdoor environmental conditions into a load prediction model to generate a predicted load, and training the load prediction model to reduce a difference between the predicted load and the detected load of the HVAC system; determining requested indoor environmental conditions associated with a future time period; determining predicted outdoor environmental conditions within the future time period using a weather forecast; inputting the requested indoor environmental conditions and the predicted outdoor environmental conditions into the trained load prediction model to determine a predicted load for the future time period; controlling the HVAC system to reduce a load of the HVAC system within the future time period using the determined predicted load.

In an air-conditioning system including an outside air processing device and an air-conditioning device, an operation of either one of the outside air processing device or the air-conditioning device is stopped if a temperature/humidity state that is at least either the temperature or humidity of air in a target space is within a predetermined range and if the load factor of at least one of the outside air processing device or the air-conditioning device is below a predetermined lower limit.

An integrated system and method measures building characteristics and user behavior to provide real-time and forecasted utility usages and costs. The system gathers current and historical heating and cooling load data, compares the data with current and historical weather data and a building system set point, and calculates the heating or cooling load needed for the building based on the user's call for heat or cooling and the ambient environmental conditions. The system additionally analyzes individual device usage using usage signatures and user inputted tracking to create a comprehensive real-time and forecast of utility usages with the estimated costs. Through history of selections with usage changes corresponding to user input of individual devices, the system will be able to learn various devices' usage. The system then creates a comprehensive, real-time forecast of utility costs including the foregoing characteristics.