Abstract: A control device, an air conditioner, and a control method thereof are provided.

Abstract: An energy storage system is provided. The energy storage system includes a battery, a power conversion system, and an energy management system configured to control the power conversion system to supply power to the power consumption system using at least one of a power received from an outside or a power charged in the battery. The energy management system estimates power consumption amounts of the power consumption system for each unit time period in a predetermined time period, a reference power amount based on the battery power charged in the battery and the power consumption amounts, and based on the power consumption amounts and the reference power amount, controls the power conversion system to supply power to the power consumption system using the external power and the battery power during the predetermined time period.

Abstract: The present invention relates to a technology for a sensor network, machine-to-machine (M2M) communication, machine-type communication (MTC) and internet of things (IoT). The present invention can be applied in intelligent services (smart home, smart building, smart city, smart car or connected car, health care, digital education, retail business, security and safety-related services, and the like) utilizing said technology.

Abstract: The present invention relates to control of activation of an air conditioning device. More particularly, the present invention provides a method for predicting the time of arrival of a preset indoor temperature based on information regarding environment factors, including a ventilation factor, and controlling the activation time of the air conditioning device such that the present temperature is reached at the target point of time according to the predicted time. In addition, the method provides a method for predicting the target point of time in view of the point of time at which the user will need the air conditioning device. In addition, the present invention provides a method for controlling activation of an air conditioning device in view of the optimal partial load factor of the air conditioning device until the presetting temperature is reached.

Abstract: An electronic device is provided. The electronic device includes a communicator comprising a circuitry, a processor electronically connected to the communicator and controlling the communicator, and a memory electrically connected to the processor. The memory is configured to store instructions to control the processor to transmit control information acquired by applying target information of an air conditioning system to a learning network model to a plurality of air conditioning devices included in the air conditioning system via the communicator. The learning network model is a learning network model configured to, based on identifying that an error is present in an estimation result of energy consumption acquired based on a learning data, generate virtual data and be retrained based on the generated virtual data.

Abstract: An energy storage system is provided. The energy storage system includes a battery, a power conversion system, and an energy management system configured to control the power conversion system to supply power to the power consumption system using at least one of a power received from an outside or a power charged in the battery. The energy management system estimates power consumption amounts of the power consumption system for each unit time period in a predetermined time period, a reference power amount based on the battery power charged in the battery and the power consumption amounts, and based on the power consumption amounts and the reference power amount, controls the power conversion system to supply power to the power consumption system using the external power and the battery power during the predetermined time period.

Abstract: The present invention relates to a technology for a sensor network, machine-to-machine (M2M) communication, machine-type communication (MTC) and internet of things (IoT). The present invention can be applied in intelligent services (smart home, smart building, smart city, smart car or connected car, health care, digital education, retail business, security and safety-related services, and the like) utilizing said technology.

Abstract: The present invention relates to control of activation of an air conditioning device. More particularly, the present invention provides a method for predicting the time of arrival of a preset indoor temperature based on information regarding environment factors, including a ventilation factor, and controlling the activation time of the air conditioning device such that the present temperature is reached at the target point of time according to the predicted time. In addition, the method provides a method for predicting the target point of time in view of the point of time at which the user will need the air conditioning device. In addition, the present invention provides a method for controlling activation of an air conditioning device in view of the optimal partial load factor of the air conditioning device until the presetting temperature is reached.

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.