Abstract: An electronic device includes: at least one memory configured to store information of a first neural network model trained to predict an operation of a refrigerator, and information of a second neural network model trained to obtain information associated with a defrosting of the refrigerator; and at least one processor configured to: obtain first data regarding an operation history of the refrigerator, input the first data to the first neural network model, and obtain, from the first neural network model, second data regarding a prediction result for a future operation of the refrigerator, and input the second data to the second neural network model, and obtain, from the second neural network model, third data including information regarding a degree of frost formation based on an operation of the refrigerator being performed according to the second data, and information regarding controlling a defrost operation of the refrigerator.

Abstract: An electronic apparatus includes a memory configured to store an artificial intelligence model, and a processor configured to obtain data associated with a fan motor of the electronic apparatus, obtain a freezing degree of the fan motor by inputting the obtained data associated with the fan motor to the artificial intelligence model which is trained to output the freezing degree of the fan motor based on the inputting of the obtained data associated with the fan motor, identify whether to perform an operation in relation to the obtained freezing degree of the fan motor, and provide, based on identifying that the operation in relation to the obtained freezing degree of the fan motor is to be performed, notification information.

Abstract: An electronic apparatus includes a memory configured to store an artificial intelligence model, and a processor configured to obtain data associated with a fan motor of the electronic apparatus, obtain a freezing degree of the fan motor by inputting the obtained data associated with the fan motor to the artificial intelligence model which is trained to output the freezing degree of the fan motor based on the inputting of the obtained data associated with the fan motor, identify whether to perform an operation in relation to the obtained freezing degree of the fan motor, and provide, based on identifying that the operation in relation to the obtained freezing degree of the fan motor is to be performed, notification information.

Abstract: An electronic apparatus includes: a communication interface; a memory configured to store a first artificial intelligence model for predicting whether refrigerant leaks from an air conditioner and at least one instruction; and a processor.

Abstract: Disclosed is an electronic apparatus which includes a memory storing a first neural network model and a second neural network model; and a processor connected to the memory configured to control the electronic apparatus, and the processor may obtain context information of a user, operation information, and environment information of a washing machine, identify an active time and an inactive time of the user by inputting the context information into the first neural network model, obtain one or more freezing probabilities by time zones of the washing machine by inputting the operation information and the environment information into the second neural network model based on a current point in time being within the active time, and identify a freezing probability greater than or equal to a threshold freezing probability during the active time and the inactive time based on the obtained one or more freezing probabilities by time zones.

Abstract: An electronic apparatus includes a memory configured to store an artificial intelligence model, and a processor configured to obtain data associated with a fan motor of the electronic apparatus, obtain a freezing degree of the fan motor by inputting the obtained data associated with the fan motor to the artificial intelligence model which is trained to output the freezing degree of the fan motor based on the inputting of the obtained data associated with the fan motor, identify whether to perform an operation in relation to the obtained freezing degree of the fan motor, and provide, based on identifying that the operation in relation to the obtained freezing degree of the fan motor is to be performed, notification information.