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A Transformer District Line Loss Anomaly Discrimination Model Incorporating Cross-attention and Deep Learning Algorithm

Published: 25 February 2022 Publication History
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        cover image ACM Other conferences
        AIPR '21: Proceedings of the 2021 4th International Conference on Artificial Intelligence and Pattern Recognition
        September 2021
        715 pages
        ISBN:9781450384087
        DOI:10.1145/3488933
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 25 February 2022

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        Author Tags

        1. CNN
        2. GRU
        3. Line loss anomaly discrimination
        4. cross attention

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        • Research-article
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        • Refereed limited

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        • the Science and Technology Project of State Grid Shandong Electric Power Company: Research on Comprehensive Evaluation and Governance Technology of Station Line Loss Based on Multi-source Data Mining

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        AIPR 2021

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