Patent ID: 11971186
Assignee: DAIKIN INDUSTRIES, LTD.
Field: Thermal processes and apparatus (Mechanical engineering)
Classification: CPC F  G | IPC F

Claim 9:
10. A non-transitory computer readable medium storing a program that causes a computer to execute a method, the method comprising:
obtaining, during a predetermined period, an operating condition of a second air conditioner that is installed in a predetermined location, instead of a first air conditioner installed in a same location as the predetermined location;
performing a first estimation process, based on a result of machine learning that is performed on a data set, the data set including a combination of information indicating a situation and information on power consumption in a case where the first air conditioner, installed in the same location as the predetermined location, has been operated, the first estimation process being a process of estimating first information on power consumption in a case where the first air conditioner, installed in the same as the predetermined location, is operated under a same condition as the operating condition, wherein the machine learning includes generating a machine learning model;
obtaining a value indicating power consumption that is actually measured in a case where, instead of using the first air conditioner, the second air conditioner installed in the predetermined location has been operated under the same condition as the operating condition under which the first air conditioner has been operated;
calculating second information based on a comparison of the actually measured value with the first information on the power consumption that is estimated by the first estimation process in the case where the first air conditioner is operated under the same condition as the operating condition; and
notifying of the calculated second information such that the second information is output onto a user interface through which a user indication is provided, the user indication including a reduction ratio of the actually measured value for the second air conditioner, to the power consumption that is determined based on the first information relating to the first air conditioner,
wherein the generating of the machine leaning model includes generating the machine learning model based on a second data set including a combination of (i) information indicating a situation of at least one third air conditioner, (ii) information on power consumption of the at least one third air conditioner, and (iii) a first air conditioning load that is derived from a heat load, and radiant heat, relating to a first building where the at least one third air conditioner is provided,
wherein the third air conditioner is a same type as the first air conditioner,
wherein the first estimation process includes using the machine learning model generated based on the second dataset to determine a second air conditioning load that is derived from a heat load, and radiant heat, relating to a second building where the second air conditioner is to be provided, and
wherein the method further comprises operating the first air conditioner at a load corresponding to the determined second air conditioning load.