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1.发明申请公开(公告)号：US20250147472A1
公开(公告)日：2025-05-08
申请号：US18934621
申请日：2024-11-01
Inventor： SANGKEUM LEE , Yoonmee DOH , Chung-ho LEE , Tae-Wook HEO
IPC: G05B13/02 , G06N3/044 , G06N3/0455 , G06N3/0464 , G06N3/088
Abstract: This invention relates to an electronic device and method for performing real-time occupancy-based home energy management. By using advanced neural network models to detect user occupancy patterns, the system optimizes appliance operation schedules to reduce energy costs, enhance system efficiency, and prolong device lifespan. The electronic device includes at least one processor and at least one memory configured to store instructions executable by the at least one processor, wherein, when at least a portion of the instructions stored in the at least one memory is executed by the at least one processor, the at least a portion of the instructions to be executed controls the electronic device to perform operations of collecting sensing data related to usage patterns of home appliances placed in an indoor area, obtaining output data by inputting the collected sensing data as input data to a neural network model for determining whether a user occupies the indoor area, and training an occupancy detection model using a reconstruction error determined through the input data and the output data.
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公开(公告)号：US20220337061A1
公开(公告)日：2022-10-20
申请号：US17674624
申请日：2022-02-17
Inventor： SANGKEUM LEE , Yoonmee DOH , Chung-ho LEE , Tae-Wook HEO
IPC: H02J3/00 , G05B19/042 , H02J3/38
Abstract: Provided is an artificial intelligence (AI)-based peer-to-peer (P2P) power trading method and apparatus that encourages a household with relatively great power consumption or a household with relatively small power consumption according to a power load pattern for each time period to participate in power trading by optimizing power consumption through AI-based P2P power trading in a cluster including a nanogrid.
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