116 related articles for article (PubMed ID: 37700131)
1. 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]
2. 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]
3. Forecasting of energy consumption by G20 countries using an adjacent accumulation grey model.
Raheem I; Mubarak NM; Karri RR; Manoj T; Ibrahim SM; Mazari SA; Nizamuddin S
Sci Rep; 2022 Aug; 12(1):13417. PubMed ID: 35927289
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Forecasting the carbon dioxide emissions in 53 countries and regions using a non-equigap grey model.
Xu Z; Liu L; Wu L
Environ Sci Pollut Res Int; 2021 Apr; 28(13):15659-15672. PubMed ID: 33236310
[TBL] [Abstract][Full Text] [Related]
6. The conformable fractional grey system model.
Ma X; Wu W; Zeng B; Wang Y; Wu X
ISA Trans; 2020 Jan; 96():255-271. PubMed ID: 31331657
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. An analysis of the main driving factors of renewable energy consumption in the European Union.
Camacho Ballesta JA; da Silva Almeida L; RodrĂguez M
Environ Sci Pollut Res Int; 2022 May; 29(23):35110-35123. PubMed ID: 35044609
[TBL] [Abstract][Full Text] [Related]
9. A novel fractional discrete grey model with variable weight buffer operator and its applications in renewable energy prediction.
Wang Y; Chi P; Nie R; Ma X; Wu W; Guo B
Soft comput; 2023; 27(14):9321-9345. PubMed ID: 37287571
[TBL] [Abstract][Full Text] [Related]
10. Moderating and mediating role of renewable energy consumption, FDI inflows, and economic growth on carbon dioxide emissions: evidence from robust least square estimator.
Naz S; Sultan R; Zaman K; Aldakhil AM; Nassani AA; Abro MMQ
Environ Sci Pollut Res Int; 2019 Jan; 26(3):2806-2819. PubMed ID: 30488245
[TBL] [Abstract][Full Text] [Related]
11. Causality links among renewable energy consumption, CO
Attiaoui I; Toumi H; Ammouri B; Gargouri I
Environ Sci Pollut Res Int; 2017 May; 24(14):13036-13048. PubMed ID: 28382444
[TBL] [Abstract][Full Text] [Related]
12. The effect of carbon dioxide emission and the consumption of electrical energy, fossil fuel energy, and renewable energy, on economic performance: evidence from Pakistan.
Rehman A; Rauf A; Ahmad M; Chandio AA; Deyuan Z
Environ Sci Pollut Res Int; 2019 Jul; 26(21):21760-21773. PubMed ID: 31134543
[TBL] [Abstract][Full Text] [Related]
13. Forecasting CO
Wang H; Zhang Z
Int J Environ Res Public Health; 2022 Apr; 19(9):. PubMed ID: 35564347
[TBL] [Abstract][Full Text] [Related]
14. A novel conformable fractional non-homogeneous grey model for forecasting carbon dioxide emissions of BRICS countries.
Wu W; Ma X; Zhang Y; Li W; Wang Y
Sci Total Environ; 2020 Mar; 707():135447. PubMed ID: 31863989
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Proportion of renewable energy consumption and economic growth: theoretical and empirical analysis.
Zhang W; Hu J; Hao J
Environ Sci Pollut Res Int; 2022 Apr; 29(19):28884-28895. PubMed ID: 34993812
[TBL] [Abstract][Full Text] [Related]
17. Inspecting the influence of renewable energy and R&D in defending environmental quality: evidence for California.
Mahou Y; Ben Youssef S; Ben Jebli M
Environ Sci Pollut Res Int; 2022 Dec; 29(59):88751-88762. PubMed ID: 35838940
[TBL] [Abstract][Full Text] [Related]
18. Forecasting education expenditure with a generalized conformable fractional-order nonlinear grey system model.
Liu C; Xu Z; Zhao K; Xie W
Heliyon; 2023 Jun; 9(6):e16499. PubMed ID: 37260892
[TBL] [Abstract][Full Text] [Related]
19. Do drivers of renewable energy consumption matter for BRICS economies? Nexus among technological innovation, environmental degradation, economic growth, and income inequality.
Muhammad I; Ozcan R; Jain V; Ramos-Meza CS; Chawla C
Environ Sci Pollut Res Int; 2023 Jan; 30(5):11321-11331. PubMed ID: 36522573
[TBL] [Abstract][Full Text] [Related]
20. A time series forecasting analysis of overall and sector-based natural gas demand: a developing South Asian economy case.
Hussain A; Memon JA; Murshed M; Alam MS; Mehmood U; Alam MN; Rahman M; Hayat U
Environ Sci Pollut Res Int; 2022 Oct; 29(47):71676-71687. PubMed ID: 35606584
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]