Air conditioning load learning apparatus and air conditioning load prediction apparatus

Patent metadata

Field	Value
Publication number	US-12590726-B2
Application number	US-202118023599-A
Country	US
Kind code	B2
Filing date	Sep 7, 2021
Priority date	Sep 7, 2020
Publication date	Mar 31, 2026
Grant date	Mar 31, 2026

Abstract

An air conditioning load learning apparatus includes an actual load acquisition unit, a first information acquisition unit, and a learning unit. The actual load acquisition unit acquires an actual air conditioning load in a target space inside a target building. The first information acquisition unit acquires first information about an operation of the target building. The learning unit generates a learning model using at least the first information as an explanatory variable and a value regarding the actual air conditioning load as an objective variable. An air conditioning load prediction apparatus includes the air conditioning load learning apparatus.

First claim

What is claimed is:

1 . 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 and
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 first information as an explanatory variable and a difference load between the actual air conditioning load and the prediction 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.

2 . The air conditioning load learning apparatus according to claim 1 , wherein
the actual air conditioning load is an air conditioning load per unit time.

3 . The air conditioning load learning apparatus according to claim 2 , wherein
the at least one processor further includes a second information acquisition unit configured to acquire second information that is at least one of an indoor humidity, an indoor temperature, an air conditioning operating time, a post air conditioning operation start elapsed time, an outside air temperature, an outside air humidity, and solar radiation, the learning unit being configured to generate the learning model further using the second information as an explanatory variable.

4 . The air conditioning load learning apparatus according to claim 2 , wherein
the learning unit is configured to generate the learning model further using the prediction air conditioning load as an explanatory variable.

5 . An air conditioning load prediction apparatus including the air conditioning load learning apparatus of claim 2 , the air conditioning load prediction apparatus further comprising:
the at least one processor, the at least one processor further including
a difference load prediction unit configured to use the learning model of the air conditioning load learning apparatus to predict the difference load from the first information; and
a load prediction unit configured to predict an air conditioning load in the target space based on the predicted difference load and the prediction air conditioning load.

6 . The air conditioning load prediction apparatus according to claim 5 , wherein
the learning model is generated based on the first information, the actual air conditioning load, and the prediction air conditioning load in a first period, the difference load prediction unit is configured to predict, from the first information in a second period longer than the first period, the difference load in the second period, and the load prediction unit is configured to predict an air conditioning load in the second period in the target space based on the predicted difference load in the second period and the prediction air conditioning load in the second period.

7 . An air conditioning load prediction apparatus including the air conditioning load learning apparatus of claim 2 , the air conditioning load prediction apparatus further comprising:
the at least one processor, the at least one processor further including
a difference load prediction unit configured to use the learning model of the air conditioning load learning apparatus to predict the difference load from the first information and the second information or the prediction air conditioning load; and
a load prediction unit configured to predict an air conditioning load in the target space based on the predicted difference load and the prediction air conditioning load.

8 . The air conditioning load prediction apparatus according to claim 7 , wherein
the learning model is generated based on the first information, the second information, the actual air conditioning load, and the prediction air conditioning load in a first period, the difference load prediction unit is configured to predict, from the first information and the second information or the prediction air conditioning load in a second period longer than the first period, the difference load in the second period, and the load prediction unit is configured to predict an air conditioning load in the second period in the target space based on the predicted difference load in the second period and the prediction air conditioning load in the second period.

9 . 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.

10 . The air conditioning load learning apparatus according to claim 9 , wherein
the actual air conditioning load is an air conditioning load per unit time.

11 . The air conditioning load learning apparatus according to claim 9 , wherein
the at least one processor further includes
a second information acquisition unit configured to acquire second information that is at least one of an indoor humidity, an indoor temperature, an air conditioning operating time, a post air conditioning operation start elapsed time, an outside air temperature, an outside air humidity, and solar radiation,
the learning unit being configured to generate the learning model further using the second information as an explanatory variable.

12 . An air conditioning load prediction apparatus including the air conditioning load learning apparatus of claim 9 , the air conditioning load prediction apparatus further comprising:
the at least one processor, the at least one processor further including
a load prediction unit configured to use the learning model generated by the learning unit in the air conditioning load learning apparatus to predict an air conditioning load in the target space from the prediction air conditioning load and the first information.

13 . The air conditioning load prediction apparatus according to claim 12 , wherein
the learning model is g

Assignees

• Daikin Ind Ltd

Inventors

• Murayama Hiroyuki
• Shimoda Yoshiyuki

Classifications

• F24F2110/12

  of the outside air · CPC title

• F24F2110/10

  Temperature · CPC title

• F24F2110/22

  of the outside air · CPC title

• F24F2140/50

  Load · CPC title

• F24F2110/20

  Humidity · CPC title