ENERGY MANAGEMENT APPARATUS AND ENERGY MANAGEMENT METHOD

    公开(公告)号:US20250070553A1

    公开(公告)日:2025-02-27

    申请号:US18680727

    申请日:2024-05-31

    Abstract: Proposed are an energy management apparatus and an energy storage apparatus. The energy management apparatus includes a consumption amount forecast unit configured to forecast an electric power consumption pattern of a user, and a control module configured to provide energy cost saving information varying with a battery capacity, based on a time span-based billing rate, the battery capacity, and the electric power consumption pattern.

    ARTIFICIAL INTELLIGENCE APPARATUS FOR RECOGNIZING USER FROM IMAGE DATA AND METHOD FOR THE SAME

    公开(公告)号:US20200050842A1

    公开(公告)日:2020-02-13

    申请号:US16547006

    申请日:2019-08-21

    Abstract: An artificial intelligence apparatus for recognizing a user includes a camera, and a process configured to receive, via the camera, image data including a recognition target object, generate recognition information corresponding to the recognition target object from the received image data, calculate a confidence level of the generated recognition information, determine whether the calculated confidence level is greater than a reference value, if the calculated confidence level is greater than the reference value, perform a control corresponding to the generated recognition information, and if the calculated confidence level is not greater than the reference value, provide a feedback for the object recognition.

    ENERGY MANAGEMENT APPARATUS AND ENERGY MANAGEMENT METHOD

    公开(公告)号:US20240396498A1

    公开(公告)日:2024-11-28

    申请号:US18672846

    申请日:2024-05-23

    Abstract: Proposed are an energy management apparatus and an energy storage apparatus. The energy management apparatus includes an electricity generation amount forecast unit including an electricity generation amount forecast model, a consumption amount forecast unit including a consumption amount forecast model, and a control module configured to detect an abnormality of a solar panel based on a forecast electricity generation amount, which is forecasted on a per-time span basis, and on an actually generated electricity generation amount, wherein the control module corrects the forecast electricity generation amount based on the electricity generation amounts up to now and determines the presence or absence of the abnormality of the solar panel and the cause of a failure of the solar panel based on the corrected forecast electricity generation amount.

    ENERGY MANAGEMENT APPARATUS AND ENERGY MANAGEMENT METHOD

    公开(公告)号:US20240212075A1

    公开(公告)日:2024-06-27

    申请号:US18533647

    申请日:2023-12-08

    CPC classification number: G06Q50/06 G06N5/022

    Abstract: The present disclosure relates to an energy management apparatus and an energy management method. An energy management apparatus according to one embodiment includes an energy generation prediction unit having an energy generation prediction model, an energy consumption prediction unit having an energy consumption prediction model, and a control module to adjust a power purchase time point and a quantity of power to be purchased for each time zone based on the predicted energy generation output from the energy generation prediction model and the predicted energy consumption output from the energy consumption prediction model.

    METHOD AND DEVICE FOR DOMAIN GENERALIZED INCREMENTAL LEARNING UNDER COVARIATE SHIFT

    公开(公告)号:US20240169261A1

    公开(公告)日:2024-05-23

    申请号:US18207520

    申请日:2023-06-08

    CPC classification number: G06N20/00

    Abstract: A computer-implemented method includes obtaining a labeled data set of images including data from a rehearsal memory and new input data, augmenting the labeled data set to generate a first data set and a second data set, wherein each image of the first data set corresponds to a corresponding image of the second data set, inputting the first data set into a query encoder and inputting the second data set into a momentum encoder to obtain encodings output by the query encoder and the momentum encoder, obtaining a contrastive loss based on the encodings using a sum of a first contrastive loss function and a second contrastive loss function, updating parameters of the query encoder based on the obtained contrastive loss, and updating parameters of the momentum encoder based on parameters of the query encoder.

    ARTIFICIAL INTELLIGENCE APPARATUS AND METHOD FOR PROVIDING TARGET DEVICE MANUAL THEREOF

    公开(公告)号:US20240022488A1

    公开(公告)日:2024-01-18

    申请号:US18048001

    申请日:2022-10-19

    CPC classification number: H04L43/0817

    Abstract: The present disclosure relates to an artificial intelligence apparatus capable of providing a user manual corresponding to an abnormality diagnosis by diagnosing an abnormality of a target device inquired by a user, and a method for providing a target device manual thereof, and may be configured to, when receiving a user inquiry from the user terminal through the communication unit, analyze the user inquiry to set a diagnosis range of a target device, perform a diagnosis corresponding to the user inquiry within the set diagnosis range of the target device, generate a user manual for the performed diagnosis result, and control the communication unit to transmit the generated a user manual to the user terminal.

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