Semiconductor Optoelectronics, Volume. 46, Issue 4, 750(2025)

Multisource Heterogeneous Data Fusion-Based Big-Data Warehouse Construction for Preventing Power Grid Scheduling Error

BAI Hongyu1, WANG Chengjun2, WANG Yujian1, YANG Yue1, YANG Shuai1, and DU Jiang1
Author Affiliations
  • 1Power Dispatching and Control Center of Guizhou Power Grid Co., Ltd., Guiyang 550002, CHN
  • 2Nanjing Nanrui Information and Communication Technology Co., Ltd., Nanjing 210000, CHN
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    References(3)

    [3] [3] Katmah R, Al Shehhi A, Jelinek H F, et al. A systematic review of gait analysis in the context of multimodal sensing fusion and AI[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023, 31: 4189-4202.

    [6] [6] Datsi T, Aznag K, BenAli B A, et al. A short survey on multimodal data fusion in image classification[C]//2024 International Conference on Global Aeronautical Engineering and Satellite Technology, 2024: 1-4.

    [10] [10] Zhang S, Liu Z, Su H. A Bayesian mixture neural network for remaining useful life prediction of lithium-ion batteries[J]. IEEE Transactions on Transportation Electrification, 2022, 8(4): 4708-4721.

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    BAI Hongyu, WANG Chengjun, WANG Yujian, YANG Yue, YANG Shuai, DU Jiang. Multisource Heterogeneous Data Fusion-Based Big-Data Warehouse Construction for Preventing Power Grid Scheduling Error[J]. Semiconductor Optoelectronics, 2025, 46(4): 750

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    Paper Information

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    Received: Jan. 2, 2025

    Accepted: Sep. 18, 2025

    Published Online: Sep. 18, 2025

    The Author Email:

    DOI:10.16818/j.issn1001-5868.20250102002

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