119 related articles for article (PubMed ID: 37783995)
1. 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]
2. 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]
3. Modelling and forecasting non-renewable energy consumption and carbon dioxide emissions in China using a PSO algorithm-based fractional non-linear grey Bernoulli model.
Yang J; Wu Z
Environ Sci Pollut Res Int; 2023 Jun; 30(26):69651-69665. PubMed ID: 37142841
[TBL] [Abstract][Full Text] [Related]
4. Estimating China's CO
Lei W; Mao S; Zhang Y
Environ Dev Sustain; 2023 May; ():1-32. PubMed ID: 37363006
[TBL] [Abstract][Full Text] [Related]
5. Forecast of carbon emissions in China based on time lag
Xu Z; Xiong P; Xie L; Huang X; Li C
Environ Technol; 2024 Jan; 45(2):329-348. PubMed ID: 35929884
[TBL] [Abstract][Full Text] [Related]
6. The research on a novel multivariate grey model and its application in carbon dioxide emissions prediction.
Xu Y; Lin T; Du P; Wang J
Environ Sci Pollut Res Int; 2024 Mar; 31(14):21986-22011. PubMed ID: 38400970
[TBL] [Abstract][Full Text] [Related]
7. Grey optimization Verhulst model and its application in forecasting coal-related CO
Duan H; Luo X
Environ Sci Pollut Res Int; 2020 Dec; 27(35):43884-43905. PubMed ID: 32737788
[TBL] [Abstract][Full Text] [Related]
8. A novel grey Verhulst model with four parameters and its application to forecast the carbon dioxide emissions in China.
Zeng B; Zheng T; Yang Y; Wang J
Sci Total Environ; 2023 Nov; 899():165648. PubMed ID: 37482363
[TBL] [Abstract][Full Text] [Related]
9. Application of a novel second-order differential equation grey model to forecast NOx emissions in China.
Xu X; Zeng B
Environ Sci Pollut Res Int; 2023 Feb; 30(9):24441-24453. PubMed ID: 36342602
[TBL] [Abstract][Full Text] [Related]
10. Estimating CO
Wang H; Wang Y
Environ Sci Pollut Res Int; 2022 Jul; 29(31):47050-47069. PubMed ID: 35175525
[TBL] [Abstract][Full Text] [Related]
11. Prediction of carbon emissions in China's construction industry using an improved grey prediction model.
Liu JB; Yuan XY; Lee CC
Sci Total Environ; 2024 Aug; 938():173351. PubMed ID: 38788944
[TBL] [Abstract][Full Text] [Related]
12. A novel method for carbon emission forecasting based on EKC hypothesis and nonlinear multivariate grey model: evidence from transportation sector.
Huang S; Xiao X; Guo H
Environ Sci Pollut Res Int; 2022 Aug; 29(40):60687-60711. PubMed ID: 35426026
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Forecasting carbon emissions from energy consumption in Guangdong Province, China with a novel grey multivariate model.
Wan G; Li X; Yin K; Zhao Y
Environ Sci Pollut Res Int; 2022 Aug; 29(39):59534-59546. PubMed ID: 35386078
[TBL] [Abstract][Full Text] [Related]
15. Analysis and prediction of the temporal and spatial evolution of carbon emissions in China's eight economic regions.
Yu Z; Zhang Y; Zhang J; Zhang W
PLoS One; 2022; 17(12):e0277906. PubMed ID: 36454795
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Forecasting China's natural gas external dependence under the "Dual Carbon" goals by a new grey model.
Li S; Gong K; Song N; Zeng B
Sci Prog; 2023; 106(1):368504231157707. PubMed ID: 36927260
[TBL] [Abstract][Full Text] [Related]
18. China's carbon dioxide emission forecast based on improved marine predator algorithm and multi-kernel support vector regression.
Qin X; Zhang S; Dong X; Zhan Y; Wang R; Xu D
Environ Sci Pollut Res Int; 2023 Jan; 30(3):5730-5748. PubMed ID: 35982382
[TBL] [Abstract][Full Text] [Related]
19. Prediction of CO2 emissions in China by generalized regression neural network optimized with fruit fly optimization algorithm.
Yue H; Bu L
Environ Sci Pollut Res Int; 2023 Jul; 30(33):80676-80692. PubMed ID: 37301812
[TBL] [Abstract][Full Text] [Related]
20. Forecasting CO
Wang H; Zhang Z
Int J Environ Res Public Health; 2022 Apr; 19(9):. PubMed ID: 35564347
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
