147 related articles for article (PubMed ID: 37201388)
1. Carbon price prediction using multiple hybrid machine learning models optimized by genetic algorithm.
Nadirgil O
J Environ Manage; 2023 Sep; 342():118061. PubMed ID: 37201388
[TBL] [Abstract][Full Text] [Related]
2. A carbon price hybrid forecasting model based on data multi-scale decomposition and machine learning.
Yang P; Wang Y; Zhao S; Chen Z; Li Y
Environ Sci Pollut Res Int; 2023 Jan; 30(2):3252-3269. PubMed ID: 35943654
[TBL] [Abstract][Full Text] [Related]
3. A new hybrid prediction model of PM
Yang H; Zhao J; Li G
Environ Sci Pollut Res Int; 2022 Sep; 29(44):67214-67241. PubMed ID: 35524096
[TBL] [Abstract][Full Text] [Related]
4. Carbon price prediction based on multiple decomposition and XGBoost algorithm.
Xu K; Xia Z; Cheng M; Tan X
Environ Sci Pollut Res Int; 2023 Aug; 30(38):89165-89179. PubMed ID: 37442936
[TBL] [Abstract][Full Text] [Related]
5. Forecasting China carbon price using an error-corrected secondary decomposition hybrid model integrated fuzzy dispersion entropy and deep learning paradigm.
Yun P; Zhou Y; Liu C; Wu Y; Pan D
Environ Sci Pollut Res Int; 2024 Mar; 31(11):16530-16553. PubMed ID: 38321281
[TBL] [Abstract][Full Text] [Related]
6. Predicting regional carbon price in China based on multi-factor HKELM by combining secondary decomposition and ensemble learning.
Hu B; Cheng Y
PLoS One; 2023; 18(12):e0285311. PubMed ID: 38085727
[TBL] [Abstract][Full Text] [Related]
7. A new hybrid optimization prediction model for PM2.5 concentration considering other air pollutants and meteorological conditions.
Yang H; Liu Z; Li G
Chemosphere; 2022 Nov; 307(Pt 3):135798. PubMed ID: 35964719
[TBL] [Abstract][Full Text] [Related]
8. A new hybrid prediction model of air quality index based on secondary decomposition and improved kernel extreme learning machine.
Li G; Tang Y; Yang H
Chemosphere; 2022 Oct; 305():135348. PubMed ID: 35718028
[TBL] [Abstract][Full Text] [Related]
9. Carbon price prediction based on decomposition technique and extreme gradient boosting optimized by the grey wolf optimizer algorithm.
Feng M; Duan Y; Wang X; Zhang J; Ma L
Sci Rep; 2023 Oct; 13(1):18447. PubMed ID: 37891187
[TBL] [Abstract][Full Text] [Related]
10. Carbon price prediction for China's ETS pilots using variational mode decomposition and optimized extreme learning machine.
Chai S; Zhang Z; Zhang Z
Ann Oper Res; 2021 Nov; ():1-22. PubMed ID: 34812214
[TBL] [Abstract][Full Text] [Related]
11. Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters.
Fijani E; Barzegar R; Deo R; Tziritis E; Skordas K
Sci Total Environ; 2019 Jan; 648():839-853. PubMed ID: 30138884
[TBL] [Abstract][Full Text] [Related]
12. Breaking through the limitation of carbon price forecasting: A novel hybrid model based on secondary decomposition and nonlinear integration.
Lan Y; Huangfu Y; Huang Z; Zhang C
J Environ Manage; 2024 Jun; 362():121253. PubMed ID: 38823294
[TBL] [Abstract][Full Text] [Related]
13. A hybrid prediction model of dissolved oxygen concentration based on secondary decomposition and bidirectional gate recurrent unit.
Jiao J; Ma Q; Liu F; Zhao L; Huang S
Environ Geochem Health; 2024 Mar; 46(4):127. PubMed ID: 38483668
[TBL] [Abstract][Full Text] [Related]
14. Harmonic detection method based on permutation entropy and variational modal decomposition optimized by genetic algorithm.
Zhang S; Zhang Y
Rev Sci Instrum; 2021 Feb; 92(2):025118. PubMed ID: 33648061
[TBL] [Abstract][Full Text] [Related]
15. A Novel Linear Spectrum Frequency Feature Extraction Technique for Warship Radio Noise Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, Duffing Chaotic Oscillator, and Weighted-Permutation Entropy.
Li Y; Wang L; Li X; Yang X
Entropy (Basel); 2019 May; 21(5):. PubMed ID: 33267221
[TBL] [Abstract][Full Text] [Related]
16. A Novel Groundwater Burial Depth Prediction Model Based on Two-Stage Modal Decomposition and Deep Learning.
Zhang X; Zheng Z
Int J Environ Res Public Health; 2022 Dec; 20(1):. PubMed ID: 36612668
[TBL] [Abstract][Full Text] [Related]
17. Predicting carbon futures prices based on a new hybrid machine learning: Comparative study of carbon prices in different periods.
Zhang X; Yang K; Lu Q; Wu J; Yu L; Lin Y
J Environ Manage; 2023 Nov; 346():118962. PubMed ID: 37714085
[TBL] [Abstract][Full Text] [Related]
18. A hybrid model for daily air quality index prediction and its performance in the face of impact effect of COVID-19 lockdown.
Li Y; Li R
Process Saf Environ Prot; 2023 Aug; 176():673-684. PubMed ID: 37350802
[TBL] [Abstract][Full Text] [Related]
19. Improved CEEMDAN, GA, and SVR Model for Oil Price Forecasting.
Lu Y; Luo J; Cui Y; He Z; Xia F
J Environ Public Health; 2022; 2022():3741370. PubMed ID: 35795536
[TBL] [Abstract][Full Text] [Related]
20. Point and interval forecasting for carbon trading price: a case of 8 carbon trading markets in China.
Zhao Y; Zhao H; Li B; Wu B; Guo S
Environ Sci Pollut Res Int; 2023 Apr; 30(17):49075-49096. PubMed ID: 36763267
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
