Abstract:
A method and an apparatus for controlling a temperature based on scheduling of an indoor temperature are provided. The apparatus obtains set temperature history information of an air handling unit from previously stored information. The set temperature history information is mapped to weather factor history information about at least one weather factor. The apparatus also obtains weather factor information regarding a scheduling target time. Based on the obtained set temperature history information and the obtained weather factor information, the apparatus schedules a set temperature of the air handling unit with regard to the scheduling target time. The present disclosure relates to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT) and may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, healthcare, digital education, smart retail, and security services.
Abstract:
A method for managing an air conditioner is provided. The method includes determining a power consumption pattern of the air conditioner while controlling the air conditioner, based on at least one power consumption factor, calculating a threshold value of power consumption according to an operating time of the air conditioner based on distribution information of the determined power consumption pattern, determining whether a current power consumption is within a threshold value range of the calculated threshold value of power consumption, and generating and transmitting a signal to a manager server if the current power consumption is not within the threshold value range.
Abstract:
The present disclosure relates to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the above technologies. In particular, a method and device for controlling room temperature and relative humidity to which to set a heating, ventilation, and air conditioning (HVAC) system are provided. The method for controlling temperature and humidity by a temperature and humidity control device includes acquiring at least one piece of environmental information and user biometric information, determining, based on the acquired at least one piece of the environmental information and the user biometric information, control information that determines statistical information to be within a certain range, and controlling an HVAC system based on the determined control information. Accordingly, it is possible to provide a comfortable environment to a user and save energy while maintaining comfort.
Abstract:
A method and a temperature adjustment apparatus of adjusting an indoor temperature includes: predicting an temperature change pattern of a first rate time zone that is reached after an operation of a Heating, Ventilation, and Air Conditioning (HVAC) system, based on an indoor temperature change pattern extracted from information stored; predicting a power consumption of the HVAC system based on the predicted temperature change pattern; and scheduling a discharging power quantity of an Energy Storage System (ESS) battery based on the predicted power consumption of the HVAC system in the first rate time zone, which is reached after the operation. The temperature adjustment method and the apparatus may schedule a discharging power quantity of the ESS battery in consideration of power consumption predicted by the temperature adjustment apparatus, external environmental factors, and characteristics of the ESS battery, thereby optimizing the rate reduction effect.The present disclosure relates to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services.