Air conditioning load learning apparatus and air conditioning load prediction apparatus

An air conditioning load learning apparatus comprising:

• at least one processor including
• an actual load acquisition unit configured to acquire an actual air conditioning load in a target space inside a target building;
• a first information acquisition unit configured to acquire first information about an operation of the target building;
• a learning unit configured to generate a learning model using
• at least the first information as an explanatory variable
• a value regarding the actual air conditioning load as an objective variable;
• and
• a prediction load acquisition unit configured to acquire a prediction air conditioning load in the target space predicted by a physical model from at least a thermal property of the target building,
• the learning unit being configured to generate the learning model using
• the prediction air conditioning load and the first information as explanatory variables and
• the actual air conditioning load as an objective variable,
• the learning model being trained by
• creating a first training set based on at least the first information,
• creating a second training set based on the value regarding the actual air conditioning load, and
• training the learning model using the first training set and the second training set.

An air conditioning load learning apparatus comprising:

• at least one processor including
• an actual load acquisition unit configured to acquire an actual air conditioning load in a target space inside a target building;
• a first information acquisition unit configured to acquire first information about an operation of the target building;
• a learning unit configured to generate a learning model using
• at least the first information as an explanatory variable
• a value regarding the actual air conditioning load as an objective variable;
• and
• an input value acquisition unit configured to acquire
• a first input value including at least a thermal property of the target building to a physical model, which outputs a prediction air conditioning load in the target space, and
• a second input value calculated by inverse calculation of the physical model using the actual air conditioning load,
• the learning unit being configured to generate the learning model using
• the first information as an explanatory variable and
• a difference input value between the first input value and the second input value as an objective variable,
• the learning model being trained by
• creating a first training set based on at least the first information,
• creating a second training set based on the value regarding the actual air conditioning load, and
• training the learning model using the first training set and the second training set.

An air conditioning load learning apparatus comprising:

• at least one processor including
• an actual load acquisition unit configured to acquire an actual air conditioning load in a target space inside a target building;
• a first information acquisition unit configured to acquire first information about an operation of the target building;
• a learning unit configured to generate a learning model using
• at least the first information as an explanatory variable
• a value regarding the actual air conditioning load as an objective variable;
• a prediction load acquisition unit configured to acquire a prediction air conditioning load in the target space predicted by a physical model from at least a thermal property of the target building;
• and
• a difference input value acquisition unit configured to acquire a difference input value calculated by inverse calculation of the physical model using a difference load between the actual air conditioning load and the prediction air conditioning load,
• the learning unit being configured to generate the learning model using
• the first information as an explanatory variable and
• the difference input value as an objective variable,
• the learning model being trained by
• creating a first training set based on at least the first information,
• creating a second training set based on a value regarding the actual air conditioning load, and
• training the learning model using the first training set and the second training set.

An air conditioning load learning apparatus comprising:

• at least one processor including
• an actual load acquisition unit configured to acquire an actual air conditioning load in a target space inside a target building;
• a first information acquisition unit configured to acquire first information about an operation of the target building:
• a learning unit configured to generate a learning model using
• at least the first information as an explanatory variable
• a value regarding the actual air conditioning load as an objective variable;
• and
• an input value acquisition unit configured to acquire
• a first input value including at least a thermal property of the target building to a physical model, which outputs a prediction air conditioning load in the target space, and
• a second input value calculated by inverse calculation of the physical model using the actual air conditioning load,
• the learning unit being configured to generate the learning model using
• the first information and the first input value as explanatory variables and
• the second input value as an objective variable,
• the learning model being trained by
• creating a first training set based on at least the first information,
• creating a second training set based on a value regarding the actual air conditioning load, and
• training the learning model using the first training set and the second training set.