Disclosed herein is an indoor unit including: a load detector for detecting a heavy-load area to bear a relatively heavy air-conditioning load during a heating mode of operation and a light-load area to bear a lighter air-conditioning load than the heavy-load area from a perimeter zone of a space to be air-conditioned; and an air volume adjuster for setting the volume of air blown toward the light-load area to be lower than that of air blown toward the heavy-load area in a horizontal blowing mode. This allows the entire room, including the perimeter zone, to be air-conditioned efficiently during the heating mode of operation with temperature non-uniformity reduced in the room.

A thermostat of an HVAC system receives active event parameters from a utility provider. The active event parameters include a start time, a stop time, and a predefined temperature setpoint for the active event, which is associated with a requirement to decrease energy consumption between the start time and the stop time. Following the start time, the thermostat adjusts a setpoint temperature of the HVAC system to the predefined setpoint temperature. After adjusting the setpoint temperature to the predefined setpoint temperature, a new user setting for operation of the HVAC system is received. The thermostat determines that energy consumed during operation of the HVAC system according to the new user setting is less than or equal to energy consumed during operation of the HVAC system according to the predefined setpoint temperature. Following this determination, the thermostat causes the HVAC system to operate according to the new user settings.

A heating, ventilation, and air conditioning (HVAC) system for regulating humidity of an enclosed space. The HVAC system includes an evaporator coil. A metering device is fluidly coupled to the evaporator coil. A variable-speed compressor is fluidly coupled to the condenser coil and the evaporator coil and a controller is operatively coupled to the variable-speed compressor. A humidity sensor is operatively coupled to the controller and exposed to the enclosed space. Responsive to a determination that the relative humidity of the enclosed space exceeds the maximum humidity threshold, the controller adjusts a speed of the variable-speed compressor to increase latent capacity of the HVAC system. Responsive to a determination that the relative humidity of the enclosed space falls below the minimum humidity threshold, the controller adjusts a speed of the variable-speed compressor to decrease latent capacity of the HVAC system.

The present disclosure relates to a system that obtains at least one of a recommended temperature and an operation mode to be set on an air conditioner by applying a position of a user and an ambient temperature of the air conditioner to a learning model trained by using an artificial intelligence algorithm, and sets at least one of the obtained recommended temperature and the obtained operation mode on the air conditioner. In this case, the learning model may be, for example, a model generated by using at least one of machine learning, a neural network, or a deep learning algorithm as the artificial intelligence algorithm.

An environmental equipment control apparatus controls environmental equipment. The environmental equipment control apparatus includes a grasping unit that grasps physical-and-mental-state information about a physical and mental state of a user, and a control unit that changes a control state of the environmental equipment in a case in which the physical-and-mental-state information satisfies a predetermined state condition.

Methods and devices for controlling a heating, ventilation, and air conditioning (HVAC) system by a thermostat are provided. Input can be received from a user via a thermostat, the input being indicative of an adjustment of an HVAC-related setting. On a real-time basis, the HVAC-related setting that is being adjusted can be compared against a feedback criterion designed to indicate a circumstance under which feedback is to be presented to the user. The circumstance can be indicative of an achievement of a HVAC-related setting of a predetermined responsibility level with respect to an energy usage of the HVAC system. Upon a real-time determination that the feedback criterion is satisfied, visual feedback can be caused to be presented to the user in real-time. The real-time feedback can include a visual icon having a visual appeal corresponding to a desirability of the satisfaction of the feedback criterion.

An environmental control system includes: a wind blower which blows wind toward a subject; and a control apparatus which performs control that makes a sympathetic nervous system of the subject dominant over a parasympathetic nervous system of the subject by changing a wind speed of the wind that is blown by the wind blower at a cycle in a range from 15 minutes to 60 minutes and by setting a time in which the wind speed is a smallest value to less than or equal to 75% of the cycle.

The present disclosure relates to a technology for Sensor Networks, Machine to Machine (M2M), Machine Type Communication (MTC), and Internet of Things (IoT). The present disclosure may be used for an intelligent service (smart home, smart building, smart city, smart car or connected car, health care, digital education, retail business, security and safety-related service, etc.) that is based on the above technologies. The present invention, with respect to a set temperature control method, is characterized by comprising the steps of: setting a control section which is a time section for controlling a set temperature in a certain space; collecting user set temperature information according to weather information for each control section, and predicted weather information; determining set temperature control information for each of the control sections on the basis of the collected set temperature information; and controlling the set temperature in the certain space on the basis of the set temperature control information determined for each of the control sections and the predicted weather information.

An operation parameter recommending method includes acquiring current application scenario information of a target air conditioner, comparing the current application scenario information with an application scenario information database to select at least one matched application scenario which matches a current application scenario of the target air conditioner associated with the current application scenario information of the target air conditioner, acquiring an air conditioner operation parameter under each of the at least one matched application scenario, acquiring a group-behavior recommended parameter based on the acquired air conditioner operation parameter, acquiring historical operation records of the target air conditioner through an acquisition server, acquiring an individual-behavior recommended parameter based on the historical operation records, generating a final recommended parameter based on the group-behavior recommended parameter and the individual-behavior recommended parameter, and providing the final recommended parameter to control the target air conditioner to operate according to the final recommended parameter.

A wooden-cabinet for air conditioning system including a cabinet for housing an air conditioning system wherein the cabinet is depicted in the form of a fireplace or a wood mantel, and the cabinet is preferably made of wood material. The cabinet preferably houses the indoor unit of the air condition system and includes heat pumps, split type heat pumps, split-HVAC, hydronic based heating systems and like. The cabinet comprise a substantially rectangular shaped enclosure having the air inlet, air outlet, components of air condition system, control unit etc. The faux fireplace cabinet comprises an illustrative model of a fireplace defined on the front side of the cabinet.