Air Conditioning System and Training Apparatus

Abstract

The air conditioning system comprises: an air conditioner; an inference device to infer data representing a total amount of a power demand value exceeding a set value for a prediction target period from input data including at least one of operation data of the air conditioner for a period prior to the prediction target period, state data of a user of the air conditioner for the period prior to the prediction target period, weather prediction data for the prediction target period, or characteristic data of the room in which the air conditioner is installed; and a control device to cause the air conditioner to perform a heat storage operation depending on a predicted value of the total amount of the power demand value.

1 . An air conditioning system connected to a demand controller to output a demand signal when a power demand value exceeds a set value, the air conditioning system comprising:
 an air conditioner; an inferencer to infer data representing a total amount of the power demand value exceeding the set value for a prediction target period from input data including at least one of operation data of the air conditioner for a period prior to the prediction target period, state data of a user of the air conditioner for the period prior to the prediction target period, weather prediction data for the prediction target period, or characteristic data of a room in which the air conditioner is installed; and   a controller to cause the air conditioner to perform a heat storage operation depending on a predicted value of the total amount of the power demand value, wherein   in response to the demand signal received from the demand controller, the controller operates the air conditioner using heat stored through the heat storage operation.   
     
     
         2 . The air conditioning system according to  claim 1 , wherein the inferencer includes:
 a data obtainer to obtain the input data including at least one of the operation data of the air conditioner for the period prior to the prediction target period, the state data of the user of the air conditioner for the period prior to the prediction target period, the weather prediction data for the prediction target period, or the characteristic data of the room in which the air conditioner is installed; and   an inferencer, using a trained model to infer the data representing the total amount of the power demand value exceeding the set value for the prediction target period from the input data including at least one of the operation data of the air conditioner for the period prior to the prediction target period, the state data of the user of the air conditioner for the period prior to the prediction target period, the weather prediction data for the prediction target period, or the characteristic data of the room in which the air conditioner is installed, to output from the input data obtained by the data obtainer data representing the predicted value of the total amount of the power demand value exceeding the set value for the prediction target period.   
     
     
         3 . The air conditioning system according to  claim 2 , wherein the operation data of the air conditioner includes at least one of an external air temperature, an indoor set temperature, or an operating rate of a compressor of the air conditioner. 
     
     
         4 . The air conditioning system according to  claim 2 , wherein the state data of the user of the air conditioner includes at least one of: a physical condition of the user in the room in which the air conditioner is installed; a state of how the user is present in the room in which the air conditioner is installed; an ID of the user present in the room in which the air conditioner is installed; or a request by the user for the room in which the air conditioner is installed. 
     
     
         5 . The air conditioning system according to  claim 4 , wherein the physical condition of the user includes at least one of a pulse rate or a body temperature of the user as detected by a wearable terminal. 
     
     
         6 . The air conditioning system according to  claim 4 , wherein the state of how the user is present in the room includes a period of time for which the user is present in the room. 
     
     
         7 . The air conditioning system according to  claim 4 , wherein the data obtainer detects whether the user is present in the room based on a schedule of the user registered with a groupwear application, a schedule of an application of a smartphone of the user, or data of a GPS of the smartphone of the user. 
     
     
         8 . The air conditioning system according to  claim 2 , wherein the weather prediction data includes at least one of: a weather forecast for a local area where the air conditioner is installed; an expected temperature of the local area where the air conditioner is installed; or a laundry index for the local area where the air conditioner is installed. 
     
     
         9 . The air conditioning system according to  claim 2 , wherein the characteristic data of the room in which the air conditioner is installed includes at least one of: a type of ventilation in the room in which the air conditioner is installed; atmospheric pressure in the room in which the air conditioner is installed; an amount of ultraviolet rays in the room in which the air conditioner is installed; or illuminance of the room in which the air conditioner is installed. 
     
     
         10 . The air conditioning system according to  claim 9 , wherein the type of ventilation is represented by a ratio of ventilation by a lossless outdoor-air treating air conditioner to energy recovery ventilation. 
     
     
         11 . A training apparatus provided for an air conditioning system comprising an air conditioner and communicating with a demand controller, wherein the demand controller outputs a demand signal to the air conditioning system when a power demand value exceeds a set value, the training apparatus comprising:
 a data obtainer to obtain training data including input data including at least one of operation data of the air conditioner for a period prior to a prediction target period, state data of a user of the air conditioner for the period prior to the prediction target period, weather prediction data for the prediction target period, or characteristic data of a room in which the air conditioner is installed, and teacher data including data representing a total amount of the power demand value exceeding the set value for the prediction target period; and   a model generator using the training data to generate a trained model to infer the data representing the total amount of the power demand value exceeding the set value for the prediction target period from the input data including at least one of the operation data of the air conditioner for the period prior to the prediction target period, the state data of the user of the air conditioner for the period prior to the prediction target period, the weather prediction data for the prediction target period, or the characteristic data of the room in which the air conditioner is installed.   
     
     
         12 . The training apparatus according to  claim 11 , wherein the operation data of the air conditioner includes at least one of an external air temperature, an indoor set temperature, or an operating rate of a compressor of the air conditioner. 
     
     
         13 . The training apparatus according to  claim 11 , wherein the state data of the user of the air conditioner includes at least one of: a physical condition of the user in the room in which the air conditioner is installed; a state of how the user is present in the room in which the air conditioner is installed; an ID of the user present in the room in which the air conditioner is installed; or a request by the user for the room in which the air conditioner is installed. 
     
     
         14 . The training apparatus according to  claim 13 , wherein the physical condition of the user includes at least one of a pulse rate or a body temperature of the user as detected by a wearable terminal. 
     
     
         15 . The training apparatus according to  claim 13 , wherein the state of how the user is present in the room includes a period of time for which the user is present in the room. 
     
     
         16 . The training apparatus according to  claim 13 , wherein the data obtainer detects whether the user is present in the room based on a schedule of the user registered with a groupwear application, a schedule of an application of a smartphone of the user, or data of a GPS of the smartphone of the user. 
     
     
         17 . The training apparatus according to  claim 11 , wherein the weather prediction data includes at least one of: a weather forecast for a local area where the air conditioner is installed; an expected temperature of the local area where the air conditioner is installed; or a laundry index for the local area where the air conditioner is installed. 
     
     
         18 . The training apparatus according to  claim 11 , wherein the characteristic data of the room in which the air conditioner is installed includes at least one of: a type of ventilation in the room in which the air conditioner is installed; atmospheric pressure in the room in which the air conditioner is installed; an amount of ultraviolet rays in the room in which the air conditioner is installed; or illuminance of the room in which the air conditioner is installed. 
     
     
         19 . The training apparatus according to  claim 18 , wherein the type of ventilation is represented by a ratio of ventilation by a lossless outdoor-air treating air conditioner to energy recovery ventilation.