Search Results - "Stacking integration algorithm"

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  1. 1

    Stacking integration algorithm based on CNN-BiLSTM-Attention with XGBoost for short-term electricity load forecasting by Luo, Shucheng, Wang, Baoshi, Gao, Qingzhong, Wang, Yibao, Pang, Xinfu

    ISSN: 2352-4847, 2352-4847
    Published: Elsevier Ltd 01.12.2024
    Published in Energy reports (01.12.2024)
    “… In this paper, we propose an algorithm for short-term power load forecasting based on the stacking integration algorithm of Convolutional Neural Network-Bidirectional Long Short-Term Neural Network-Attention Mechanism…”
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    Journal Article
  2. 2

    Fault Diagnosis of Wind Turbine Generators Based on Stacking Integration Algorithm and Adaptive Threshold by Tang, Zhanjun, Shi, Xiaobing, Zou, Huayu, Zhu, Yuting, Yang, Yushi, Zhang, Yajia, He, Jianfeng

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 06.07.2023
    Published in Sensors (Basel, Switzerland) (06.07.2023)
    “…Fault alarm time lag is one of the difficulties in fault diagnosis of wind turbine generators (WTGs), and the existing methods are insufficient to achieve…”
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    Journal Article
  3. 3

    Research on Sinter Quality Prediction System Based on Granger Causality Analysis and Stacking Integration Algorithm by Li, Xin, Liu, Xiaojie, Li, Hongyang, Liu, Ran, Zhang, Zhifeng, Li, Hongwei, Lyu, Qing, Wen, Liangyixin

    ISSN: 2075-4701, 2075-4701
    Published: Basel MDPI AG 01.02.2023
    Published in Metals (Basel ) (01.02.2023)
    “… By analyzing the massive historical data on the sinter production of a steel company, this study proposes a sinter quality prediction system based on Granger causality analysis and a stacking integration algorithm…”
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    Journal Article
  4. 4

    Predicting Stroke Through Health Data Analysis and Stacking Integration Algorithm by Wang, Yi, Shang, Xinping, Dong, A'ni, Zhang, Chulan

    Published: IEEE 28.02.2025
    “…Stroke is the second leading cause of death worldwide and a significant contributor to the global burden of disability. This study aims to analyze health data…”
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    Conference Proceeding
  5. 5

    Achievement Prediction System Based on Stacking Integration Algorithm by Chen, Yan

    Published: IEEE 18.10.2024
    “…The Stacking algorithm is a heterogeneous ensemble learning method that combines learning methods as a combination strategy. The first layer classifier is…”
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    Conference Proceeding
  6. 6

    Developing an optimal individual tree diameter growth model for uneven-aged Pinus yunnanensis forests using machine learning algorithms by Deng, Longfeng, Wang, JianMing, Yin, JiTing, Guan, YaDong

    ISSN: 0931-1890, 1432-2285
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2025
    Published in Trees (Berlin, West) (01.08.2025)
    “…The objective of this study was to develop more accurate predictions of the diameter growth of Pinus yunnanensis and to analyze the impact of various factors…”
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    Journal Article
  7. 7

    Design and Implementation of State Grid Data Operation Management System Based on Stacking Integration Algorithm by Wang, Jiajia, Zhang, Bo, Yao, Wenjian, Pan, Yingnan, Cheng, Lin

    Published: IEEE 01.03.2024
    “… In this paper, a Stacking integration algorithm is proposed to optimize State Grid's data, management mode, and mapping structure, and the management level, security, and database rationality are verified…”
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    Conference Proceeding
  8. 8

    Vibration Test of Single Coal Gangue Particle Directly Impacting the Metal Plate and the Study of Coal Gangue Recognition Based on Vibration Signal and Stacking Integration by Yang, Yang, Zeng, Qingliang, Yin, Guangjun, Wan, Lirong

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2019
    Published in IEEE access (2019)
    “…In order to realize the recognition of coal gangue in the top coal caving process, a scheme of the coal gangue recognition based on the collision vibration…”
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    Journal Article
  9. 9

    Rockburst Intensity Classification Prediction Based on Multi-Model Ensemble Learning Algorithms by Wang, Jiachuang, Ma, Haoji, Yan, Xianhang

    ISSN: 2227-7390, 2227-7390
    Published: Basel MDPI AG 01.02.2023
    Published in Mathematics (Basel) (01.02.2023)
    “…Rockburst is a common and huge hazard in underground engineering, and the scientific prediction of rockburst disasters can reduce the risks caused by…”
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    Journal Article
  10. 10

    基于集成模型的污水处理厂出水总氮预测方法 by 姚怡帆, 荆玉姝, 王丽艳, 刘长青

    ISSN: 1005-829X
    Published: 青岛理工大学环境与市政工程学院,山东青岛 266520%青岛张村河水务有限公司,山东青岛 266100 01.09.2023
    Published in 工业水处理 (01.09.2023)
    “…X703; 污水处理厂是控制水体污染、改善水环境质量的重要基础设施,建立可靠的污水处理厂出水水质预测模型以便及时反馈污水处理状况是污水处理领域的研究热点之一.利…”
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    Journal Article
  11. 11

    Joint prediction of the state of health and remaining useful life for lithium-ion batteries based on Wrapper Cascade-Stacking by Ma, Shuaijun, Hou, Xinxing, Luo, Maomao

    ISSN: 2352-152X
    Published: Elsevier Ltd 15.03.2025
    Published in Journal of energy storage (15.03.2025)
    “…) are stacked using the first Stacking Integration algorithm to build a lithium-ion battery aging model for SOH prediction…”
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    Journal Article
  12. 12

    A D-stacking dual-fusion, spatio-temporal graph deep neural network based on a multi-integrated overlay for short-term wind-farm cluster power multi-step prediction by Qu, Zhijian, Li, Jian, Hou, Xinxing, Gui, Jianglin

    ISSN: 0360-5442
    Published: Elsevier Ltd 15.10.2023
    Published in Energy (Oxford) (15.10.2023)
    “… The Bagging, long short-term memory (LSTM), and random forest (RF) are superimposed based on the stacking integration algorithm…”
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    Journal Article
  13. 13

    Prediction of Copper Matte Grade Based on DN-GAN Stacking Algorithm: Prediction of copper matte grade based on DN-GAN stacking algorithm by Li, Tiangui, Gu, Wenjuan, Gao, Wenqi, Ding, Can, Yin, Yanchao

    ISSN: 1047-4838, 1543-1851
    Published: New York Springer US 01.01.2025
    Published in JOM (1989) (01.01.2025)
    “… The tree-structured Parzen estimator (TPE) optimization algorithm is used to optimize the hyperparameters of the basic model in the stacking integration algorithm…”
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    Journal Article
  14. 14

    Research on Sand-Dust Storm Forecasting Based on Deep Neural Network with Stacking Ensemble Learning by Ren, Qing-dao-er-ji, Li, Na, Zhang, Weiming

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2022
    Published in IEEE access (2022)
    “…Weather forecasting is an important factor affecting production and life. With the development of technology, weather forecasting methods such as weather map…”
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    Journal Article
  15. 15

    Recognizing and reducing effects of moisture-salt coexistence on soil organic matter spectral prediction:From laboratory to satellite by Wang, Danyang, Tan, Yayi, Li, Cheng, Xin, Jingda, Wang, Yunqi, Hou, Huagang, Gao, Lulu, Zhong, Changbo, Pan, Jianjun, Li, Zhaofu

    ISSN: 0167-1987
    Published: Elsevier B.V 01.05.2025
    Published in Soil & tillage research (01.05.2025)
    “…Soil organic matter (SOM) mapping in salinized areas is crucial for scientific guidance on soil salinization. However, accurately mapping SOM is challenging…”
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    Journal Article
  16. 16

    A Grid Fault Diagnosis Method Based on Stacking Algorithm by Du, Mingxuan, Wang, Zirui, Zhang, Ziqi, Zhang, Xu

    ISSN: 1742-6588, 1742-6596
    Published: Bristol IOP Publishing 01.04.2023
    Published in Journal of physics. Conference series (01.04.2023)
    “… Therefore, a fusion model based on the Stacking integration algorithm is proposed, and four commonly used machine learning algorithms are selected for fusion…”
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    Journal Article
  17. 17

    Non-intrusive Load Identification Algorithm Based on Stacking Modeling by Miao, Weiwei, Zeng, Zeng, Teng, Changzhi, Zhang, Rui, Li, Shihao, Bi, Sibo, Wang, Jijun, Zhou, Haocheng, Li, Fubao, Zhang, Yongze

    ISSN: 1742-6588, 1742-6596
    Published: Bristol IOP Publishing 01.02.2023
    Published in Journal of physics. Conference series (01.02.2023)
    “…The non-intrusive power load identification relies on the smart meter’s voltage, current and power signals, which can realize the classification and monitoring…”
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    Journal Article
  18. 18

    Prediction of Ultimate Bearing Capacity of Oil and Gas Wellbore Based on Multi-Modal Data Analysis in the Context of Machine Learning by Li, Qiang

    ISSN: 1935-570X, 1935-5718
    Published: Hershey IGI Global 01.01.2023
    “…As important research for drilling engineering, the prediction of oil and gas shaft lining conditions is changing from the traditional method based on the…”
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    Journal Article
  19. 19

    Yield Prediction Model of Spinneret Buds Based on Stacking Algorithm by Wu, Wenhao, Miao, Yu

    Published: IEEE 12.06.2024
    “…: The RF-BPNN-Stacking model is constructed using the stochastic forest and BP neural network models and the Stacking integration algorithm…”
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    Conference Proceeding
  20. 20

    Ensemble prediction modeling of flotation recovery based on machine learning by He, Guichun, Liu, Mengfei, Zhao, Hongyu, Huang, Kaiqi

    ISSN: 2095-2686
    Published: Elsevier B.V 01.12.2024
    “…), support vector regression (SVR), random forest (RF), and the bagging, boosting, and stacking integration algorithms are employed to construct a flotation recovery prediction model…”
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    Journal Article