Anomaly detection model training method, anomaly detection methods, and load detection devices for household electricity

    公开(公告)号:US20250068884A1

    公开(公告)日:2025-02-27

    申请号:US18378665

    申请日:2023-10-11

    Abstract: An anomaly detection model training method, anomaly detection methods, and load detection devices for household electricity are provided. The anomaly detection method is applied to the load detection device, which includes a processing unit and an anomaly detection model. The processing unit trains the anomaly detection model and performs an anomaly detection method. The anomaly detection method includes: extracting user electrical features to obtain feature data; grouping the feature data based on electricity consumption behavior and inputting them into the first and second single classification models respectively to generate detection results corresponding to the first and second single classification models; generating anomaly electricity detection results based on the detection results; differentiating the electricity load data according to unit time to become a plurality segments of sub-electricity load data; and comparing the segments of sub-electricity load data with the historical load data to output a plurality of anomaly electricity consumption periods.

    APPARATUS AND METHOD FOR ANALYZING ELECTRICAL LOAD, AND APPARATUS FOR MODELING ELECTRICAL LOAD

    公开(公告)号:US20240151752A1

    公开(公告)日:2024-05-09

    申请号:US17989721

    申请日:2022-11-18

    CPC classification number: G01R22/06

    Abstract: An apparatus and a method for analyzing an electrical load include: receiving household electricity consumption data and household characteristic data of a user from a client device; selecting an electricity consumption analysis model according to household environment data of the user, and generating an electricity consumption tracking list according to a plurality of feature data of the household electricity consumption data and the household characteristic data via the electricity consumption analysis model; and transmitting the electricity consumption tracking list to the client device. An apparatus for modeling an electrical load includes: receiving a plurality of household electricity consumption data and of household characteristic data from client devices; and generating a plurality of electricity consumption analysis models according to the plurality of household electricity consumption data and the plurality of household characteristic data of the plurality of users.

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