LOAD PREDICTION METHOD AND APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20230283073A1

    公开(公告)日:2023-09-07

    申请号:US18108716

    申请日:2023-02-13

    CPC classification number: H02J3/003 G06N20/00

    Abstract: A load prediction method includes determining for a current prediction time point of a prediction day, a similar days of a prediction day from historical days before the prediction day; acquiring an air temperature difference between an air temperature at the time point of the prediction day and an air temperature at the time point of the similar day; determining a difference of loads at the time point of the prediction day and the similar day according to the air temperature difference; and determining a predicted load value at the time point of the prediction day according to a load value at the time point of the similar day and the load difference.

    METHOD FOR EVALUATING MODEL SERVICE, ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20250013551A1

    公开(公告)日:2025-01-09

    申请号:US18890749

    申请日:2024-09-19

    Abstract: The present disclosure provides a method and apparatus for evaluating a model service, an electronic device, and a storage medium, relates to the technical field of edge computers, in particular to the technical fields of intelligent Internet of Things, edge intelligent devices, or the like. A specific implementation solution is as follows: receiving an evaluation sample set from cloud, the evaluation sample set including a to-be-evaluated model and a dataset corresponding to the to-be-evaluated model and containing labelling information; performing model inference on the to-be-evaluated model based on data in the dataset, to obtain an inference result corresponding to the to-be-evaluated model; and calculating a performance evaluation metrics based on the labelling information in the dataset and the inference result, to obtain an evaluation result corresponding to the to-be-evaluated model.

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