These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

116 related articles for article (PubMed ID: 38694107)

  • 1. A novel seasonal grey prediction model with fractional order accumulation for energy forecasting.
    Wang H; Li Y
    Heliyon; 2024 May; 10(9):e29960. PubMed ID: 38694107
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Forecasting seasonal variations in electricity consumption and electricity usage efficiency of industrial sectors using a grey modeling approach.
    Chen HB; Pei LL; Zhao YF
    Energy (Oxf); 2021 May; 222():119952. PubMed ID: 36570723
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Novel Fractional Accumulative Grey Model with GA-PSO Optimizer and Its Application.
    Huang R; Fu X; Pu Y
    Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679433
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Forecasting seasonal electricity generation in European countries under Covid-19-induced lockdown using fractional grey prediction models and machine learning methods.
    Şahin U; Ballı S; Chen Y
    Appl Energy; 2021 Nov; 302():117540. PubMed ID: 36567791
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A novel fractional-order grey prediction model: a case study of Chinese carbon emissions.
    Li H; Wu Z; Qian S; Duan H
    Environ Sci Pollut Res Int; 2023 Nov; 30(51):110377-110394. PubMed ID: 37783995
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Forecasting CO
    Wang H; Zhang Z
    Int J Environ Res Public Health; 2022 Apr; 19(9):. PubMed ID: 35564347
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Quarterly electricity consumption prediction based on time series decomposition method and gray model.
    Sun Y; Zhang F
    Environ Sci Pollut Res Int; 2023 Sep; 30(42):95410-95424. PubMed ID: 37544948
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Using a fractional order grey seasonal model to predict the dissolved oxygen and pH in the Huaihe River.
    Zhang K; Wu L
    Water Sci Technol; 2021 Jan; 83(2):475-486. PubMed ID: 33504709
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Forecasting the Amount of Waste-Sewage Water Discharged into the Yangtze River Basin Based on the Optimal Fractional Order Grey Model.
    Li S; Meng W; Xie Y
    Int J Environ Res Public Health; 2017 Dec; 15(1):. PubMed ID: 29295517
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Application of improved seasonal GM(1,1) model based on HP filter for runoff prediction in Xiangjiang River.
    Zhang X; Wu X; Xiao Y; Shi J; Zhao Y; Zhang M
    Environ Sci Pollut Res Int; 2022 Jul; 29(35):52806-52817. PubMed ID: 35274203
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An MPA-based optimized grey Bernoulli model for China's petroleum consumption forecasting.
    Wu WZ; Hu Z; Qi Q; Zhang T
    Complex Intell Systems; 2023; 9(1):329-343. PubMed ID: 35791350
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A grey seasonal least square support vector regression model for time series forecasting.
    Zhou W; Cheng Y; Ding S; Chen L; Li R
    ISA Trans; 2021 Aug; 114():82-98. PubMed ID: 33353751
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting of elderly population structure and density by a novel grey fractional-order model with theta residual optimization: a case study of Shanghai City, China.
    Guo X; Li J; Zhu X; Yang Y; Jin J
    BMC Geriatr; 2023 Sep; 23(1):568. PubMed ID: 37716937
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A novel power-driven fractional accumulated grey model and its application in forecasting wind energy consumption of China.
    Zhang P; Ma X; She K
    PLoS One; 2019; 14(12):e0225362. PubMed ID: 31805165
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A novel grey power-Markov model for the prediction of China's electricity consumption.
    Sun L; Yang Y; Ning T; Zhu J
    Environ Sci Pollut Res Int; 2022 Mar; 29(15):21717-21738. PubMed ID: 34767163
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Forecasting fuel combustion-related CO
    Xie W; Wu WZ; Liu C; Zhang T; Dong Z
    Environ Sci Pollut Res Int; 2021 Jul; 28(28):38128-38144. PubMed ID: 33725301
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Forecasting the renewable energy consumption of Australia by a novel grey model with conformable fractional opposite-direction accumulation.
    Wang H; Zhang Z
    Environ Sci Pollut Res Int; 2023 Oct; 30(47):104415-104431. PubMed ID: 37700131
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Forecast of clean energy generation in China based on new information priority nonlinear grey Bernoulli model.
    Xiao J; Xiao X
    Environ Sci Pollut Res Int; 2023 Nov; 30(51):110220-110239. PubMed ID: 37782369
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An Optimized Fractional Grey Prediction Model for Carbon Dioxide Emissions Forecasting.
    Hu YC; Jiang P; Tsai JF; Yu CY
    Int J Environ Res Public Health; 2021 Jan; 18(2):. PubMed ID: 33445594
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Assessment of the air pollution emission reduction effect of the coal substitution policy in China: an improved grey modelling approach.
    Shou MH; Wang ZX; Li DD; Wang Y
    Environ Sci Pollut Res Int; 2020 Sep; 27(27):34357-34368. PubMed ID: 32557069
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.