Výsledky vyhledávání - "deep-learning encoder–decoder"

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  1. 1

    Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization Autor Jin, Xue-Bo, Zheng, Wei-Zhen, Kong, Jian-Lei, Wang, Xiao-Yi, Bai, Yu-Ting, Su, Ting-Li, Lin, Seng

    ISSN: 1996-1073, 1996-1073
    Vydáno: MDPI AG 01.03.2021
    Vydáno v Energies (Basel) (01.03.2021)
    “…Short-term electrical load forecasting plays an important role in the safety, stability, and sustainability of the power production and scheduling process. An…”
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    Journal Article
  2. 2

    Deep-Learning Temporal Predictor via Bidirectional Self-Attentive Encoder–Decoder Framework for IOT-Based Environmental Sensing in Intelligent Greenhouse Autor Jin, Xue-Bo, Zheng, Wei-Zhen, Kong, Jian-Lei, Wang, Xiao-Yi, Zuo, Min, Zhang, Qing-Chuan, Lin, Seng

    ISSN: 2077-0472, 2077-0472
    Vydáno: Basel MDPI AG 01.08.2021
    Vydáno v Agriculture (Basel) (01.08.2021)
    “…Smart agricultural greenhouses provide well-controlled conditions for crop cultivation but require accurate prediction of environmental factors to ensure ideal…”
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  3. 3

    Spatio-Temporal Network for Sea Fog Forecasting Autor Park, Jinhyeok, Lee, Young Jae, Jo, Yongwon, Kim, Jaehoon, Han, Jin Hyun, Kim, Kuk Jin, Kim, Young Taeg, Kim, Seoung Bum

    ISSN: 2071-1050, 2071-1050
    Vydáno: Basel MDPI AG 01.12.2022
    Vydáno v Sustainability (01.12.2022)
    “…Sea fog can seriously affect schedules and safety by reducing visibility during marine transportation. Therefore, the forecasting of sea fog is an important…”
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