MACHINE LEARNING DEVELOPMENT SUPPORT SYSTEM AND MACHINE LEARNING DEVELOPMENT SUPPORT METHOD

    公开(公告)号:US20240428135A1

    公开(公告)日:2024-12-26

    申请号:US18747830

    申请日:2024-06-19

    Applicant: Hitachi, Ltd.

    Abstract: A machine learning development support system includes: a data storage unit that stores training data; a data attribute extraction unit that refers to definition information whereby a conversion condition for converting the training data into an attribute thereof is defined and extracts data acquisition conditions from the training data; and an experiment record information storage unit that stores experiment record information., The machine learning product including a machine learning program and a trained model is divided into versions and recorded, and an accuracy of an inference obtained by each version is recorded in association with the version, the trained model, and the training data; and a processing specification unit that refers to the experiment record information, and specifies, for each of the data acquisition conditions, a machine learning product in which the accuracy of the inference is improved between old and new versions of the machine learning product.

    POWER TRANSACTION PLAN PLANNING SUPPORT SYSTEM AND POWER TRANSACTION PLAN PLANNING SUPPORT METHOD

    公开(公告)号:US20170124668A1

    公开(公告)日:2017-05-04

    申请号:US15301425

    申请日:2014-04-04

    Applicant: Hitachi, Ltd.

    Abstract: A power transaction plan planning support system for planning an electrical power transaction plan includes: a suppressible power consumption amount calculation unit which calculates a suppressible power consumption amount; a market information acquisition unit which acquires a market price and a position amount; a transaction plan planning rule which defines a position amount threshold value which serves as a criterion to determine whether the position amount is insufficient or not, as a determination condition to determine whether to buy electrical power from an electrical power transaction market or not; and a transaction plan planning unit which reduces the position amount threshold value by the suppressible power consumption amount and calculates an amount of the electrical power to be purchased from the electrical power transaction market on the basis of the reduced position amount threshold value, the market price, and the transaction plan planning rule.

    INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD

    公开(公告)号:US20210165397A1

    公开(公告)日:2021-06-03

    申请号:US17026438

    申请日:2020-09-21

    Applicant: HITACHI, LTD.

    Abstract: A grouping unit, with the use of facility order priority information and facility order rule information, determines a group to which facility orders belong, stores the group in grouping information, performs grouping of facility orders, which do not include a sequential relation in a reverse direction among facility orders, into the same group, performs grouping of facility orders, which include a sequential relation in a reverse direction among facility orders, into a different group, integrates the facility orders grouped in the same group, and sets the integrate facility order as a display facility order of the group.

    MACHINE LEARNING SYSTEM AND MACHINE LEARNING MODEL MANAGEMENT METHOD USING MACHINE LEARNING SYSTEM

    公开(公告)号:US20220365526A1

    公开(公告)日:2022-11-17

    申请号:US17691784

    申请日:2022-03-10

    Applicant: Hitachi, Ltd.

    Abstract: When an event such as maintenance occurs, a model in which a tendency of input data changes due to an influence of the maintenance and retraining is required is specified. Model identifiers that specify the machine learning models and are unique to the machine learning models and sensor identifiers that specify the sensors that output the sensor data serving as the input data of the machine learning models and are unique to the sensors are managed to be in association with each other. A degree of influence indicating a change in tendency of the sensor data before and after the maintenance operation is performed is obtained for each maintenance event identifier that specifies a maintenance operation performed on a device and is unique to the maintenance operation, and the degree of influence is managed in association with each of the sensor identifiers. When the sensor whose degree of influence satisfies a predetermined condition is influenced by the maintenance operation, the model identifier associated with the sensor identifier of the sensor satisfying the condition is presented.

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