FIELD: air conditioning control.
SUBSTANCE: invention relates to a server, methods and equipment for data-based learning and air conditioning control. The server comprises a communication unit, a data storage unit and at least one processor configured to receive the set temperature set in the air conditioner and the current ambient temperature in the air conditioner room during the setting of the set temperature through the communication unit, apply the set temperature and the current ambient temperature environment in the training model, and obtain a recommended temperature set in the air conditioner, the training model learning to provide the recommended temperature based on the set temperature and the current ambient temperature in the room.
EFFECT: invention provides the possibility of determining and controlling the temperature of the air conditioner.
30 cl, 20 dwg
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