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 BASED ON ESS AND METHOD FOR CLUSTERING ENERGY PREDICTION MODELS THEREOF

    公开(公告)号:US20240014655A1

    公开(公告)日:2024-01-11

    申请号:US18047998

    申请日:2022-10-19

    Inventor: Jaehong KIM

    CPC classification number: H02J3/144 H02J3/003

    Abstract: system (ESS), and a method for clustering an energy prediction model thereof and may be configured to check whether a federated model for determining the similarity with the energy prediction model for each household exists in the memory if an energy prediction model for each household is received, to determine the similarity between the energy prediction model for each household and the federated model if the federated model exists, and to cluster the energy prediction model for each household into the federated model according to the determined similarity to update the federated model.

    ARTIFICIAL INTELLIGENCE APPARATUS FOR PERFORMING VOICE CONTROL USING VOICE EXTRACTION FILTER AND METHOD FOR THE SAME

    公开(公告)号:US20210327418A1

    公开(公告)日:2021-10-21

    申请号:US16493741

    申请日:2019-03-12

    Inventor: Jaehong KIM

    Abstract: According to an embodiment of the present invention, an artificial intelligence (AI) apparatus for performing voice control, includes a memory configured to store a voice extraction filter for extracting a voice of a registered user, and a processor to receive identification information of a user and a first voice signal of the user, to register the user using the received identification information, to extract a voice of the registered user from the received second voice signal by using the voice extraction filter corresponding to the registered user, when a second voice signal is received, and to proceed a control operation corresponding to intention information of the extracted voice of the registered user. The voice extraction filter is generated by using the received first voice signal of the registered user.

    ARTIFICIAL INTELLIGENCE APPARATUS AND METHOD FOR RECOGNIZING OBJECT

    公开(公告)号:US20210166084A1

    公开(公告)日:2021-06-03

    申请号:US16728630

    申请日:2019-12-27

    Abstract: An artificial intelligence apparatus for recognizing an object includes a camera, a memory configured to store a plurality of object recognition models sharing at least one shared layer each other, and a processor configured to receive, via the camera, image data including an object, recognize the object included in the image data by using an object recognition model set including the plurality of object recognition models, and update the object recognition model set based on an object recognition frequency.

    ARTIFICIAL INTELLIGENCE DEVICE AND OPERATING METHOD THEREOF

    公开(公告)号:US20210150307A1

    公开(公告)日:2021-05-20

    申请号:US16730652

    申请日:2019-12-30

    Abstract: An artificial intelligence (AI) device may acquire user information, use information of a home appliance and weather information, acquire whether use of the home appliance is recommended and a recommended use time of the home appliance from the user information, the use information of the home appliance and the weather information, using an appliance use recommendation model, and output a recommendation comment indicating information on use of the home appliance based on the recommended use time.

    ARTIFICIAL INTELLIGENCE APPARATUS FOR RECOGNIZING OBJECT AND METHOD THEREFOR

    公开(公告)号:US20200042796A1

    公开(公告)日:2020-02-06

    申请号:US16493700

    申请日:2019-04-16

    Abstract: Disclosed herein is an artificial intelligence apparatus for recognizing at least one object, comprising: a memory configured to store a plurality of recognition models for generating identification information corresponding to the object from image data; and a processor configured to: obtain image data for the object, generate first identification information corresponding to the object from the image data using a default recognition model composed of at least one or more of the plurality of recognition models, measure a confidence level for the first identification information, obtain the first identification information as a recognition result of the object if the confidence level is equal to or greater than a first reference value, and obtain second identification information corresponding to the object from the image data as a recognition result of the object using a compound recognition model composed of at least one or more of the plurality of recognition models if the measured confidence level is less than the first reference value, wherein the default recognition model is a model defined by first weights for the plurality of recognition models, and wherein the compound recognition model is a model defined by second weights for the plurality of recognition models.

    ROBOT CLEANER FOR PERFORMING CLEANING USING ARTIFICIAL INTELLIGENCE AND METHOD OF OPERATING THE SAME

    公开(公告)号:US20200012289A1

    公开(公告)日:2020-01-09

    申请号:US16575628

    申请日:2019-09-19

    Abstract: A robot cleaner for performing cleaning using artificial intelligence includes a suction unit configured to suction dust, a driving unit to drive the robot cleaner, a memory configured to store a compensation model for inferring optimal suction output and driving output for cleaning environment information for learning, and a processor configured to acquire cleaning environment information, determine a suction output value and a driving speed of the robot cleaner from the acquired cleaning environment information using the compensation model, control the suction unit to suction the dust with the determined suction output value, and control the driving unit to drive the robot cleaner at the determined driving speed.

    ARTIFICIAL INTELLIGENCE APPARATUS AND METHOD FOR RECOGNIZING UTTERANCE VOICE OF USER

    公开(公告)号:US20190385614A1

    公开(公告)日:2019-12-19

    申请号:US16557377

    申请日:2019-08-30

    Abstract: Embodiments provide an artificial intelligence apparatus for recognizing an utterance voice of a user. The artificial intelligence apparatus includes: a communication unit configured to communicate with at least one external artificial intelligence apparatus which obtains first sound data including the utterance voice of the user to generate a first speech recognition result from the first sound data; a microphone configured to obtain second sound data including the utterance voice; and a processor configured to receive first speech recognition results from each of the at least one external artificial intelligence apparatus, generate a second speech recognition result from the second sound data, generate a final speech recognition result for the utterance voice by using the first speech recognition results and the second speech recognition result, and perform a control corresponding to the final speech recognition result.

    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.

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