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公开(公告)号:US20200041160A1
公开(公告)日:2020-02-06
申请号:US16556153
申请日:2019-08-29
Applicant: LG ELECTRONICS INC.
Inventor: Hangyu KO , Dongkyu LEE
Abstract: This method for controlling an air conditioning system teams the first learning model so as to obtain the first predicted temperature value according to the first hyper parameter updated based on the first temperature related data, learns the second control value based on the obtained first predicted temperature value, and controls an air conditioning device so as to operate the air conditioning device according to the acquired first control value.
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公开(公告)号:US20210190362A1
公开(公告)日:2021-06-24
申请号:US16492899
申请日:2019-06-04
Applicant: LG ELECTRONICS INC.
Inventor: Hangyu KO , Bongsang KIM
Abstract: An apparatus for generating a temperature prediction model is disclosed. The apparatus for generating a temperature prediction model includes the temperature prediction model configured to provide a simulation environment, and a processor configured to set a hyperparameter of the temperature prediction model, train the temperature prediction model, in which the hyperparameter is set, so that the temperature prediction model, in which the hyperparameter is set, outputs a predicted temperature, update the hyperparameter on the basis of a difference between the predicted temperature, which is outputted from the trained temperature prediction model, and an actual temperature, and repeat the setting of the hyperparameter, the training of the temperature prediction model, and the updating of the hyperparameter on the basis of the difference between the predicted temperature and the actual temperature by a predetermined number of times or more to set a final hyperparameter of the temperature prediction model.
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公开(公告)号:US20210056384A1
公开(公告)日:2021-02-25
申请号:US16576706
申请日:2019-09-19
Applicant: LG ELECTRONICS INC.
Inventor: Hangyu KO , Dongkyu LEE
Abstract: An apparatus for generating a temperature prediction model is provided. The apparatus includes a temperature prediction model configured to output a predicted temperature based on an input variable of a temperature control system, which affects a temperature and a processor configured to set the input variable to the temperature prediction model, update the input variable based on a difference between the predicted temperature output from the temperature prediction model to which the input variable is set and an actual temperature, and set a final input variable of the temperature prediction model by repeating the setting of the input variable and the updating of the input variable by a predetermined number of times or more based on the difference between the predicted temperature and the actual temperature.
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