Abstract: An air conditioning control device includes: an operation pattern acquiring unit to acquire operation patterns indicating an operation target air conditioner in a room; a temperature data acquiring unit to acquire temperature data indicating a temperature measured by a temperature sensor when the air conditioner is in operation: a prediction model generating unit to generate, using a control amount of the air conditioner and temperature data acquired when the air conditioner is in operation as training data, a room-temperature prediction model for predicting the temperature measured by the temperature sensor when the air conditioner are in operation; and an operation pattern selecting unit to provide the control amount of the air conditioner to the room-temperature prediction model to acquire a prediction temperature from each of the room-temperature prediction models, and selects one operation pattern from the operation patterns on the basis of the prediction temperature.

Abstract: The learning device includes: a first data acquisition unit; and a model generation unit. The first data acquisition unit is configured to acquire operation data of an air conditioning system. The model generation unit is configured to convert a specific model into a trained model using the operation data. The operation data includes a specific parameter and at least one of a temperature of air passing through the second heat exchanger, a temperature and a pressure of refrigerant, and a temperature outside a space where each of at least one indoor unit is arranged. The specific model estimates the specific parameter from the operation data other than the specific parameter. The specific parameter includes at least one of an operating frequency of the compressor, a degree of opening of the expansion valve, and an amount of air blown per unit time by the blower.

Abstract: An air-conditioning control device includes: an air-conditioning data acquisition unit to acquire air-conditioning data; a determination unit to determine whether or not the air-conditioning data is present in a sparse region; an estimation unit to, in a case where the determination unit determines that the air-conditioning data is present in the sparse region, apply extrapolation using a non-learning model for associating the air-conditioning data with a startup time of an air conditioner to a machine learning model, and estimate the startup time of the air conditioner from the air-conditioning data by using the non-learning model; and a control unit to perform control to start up the air conditioner at the startup time estimated by the estimation unit.