149 related articles for article (PubMed ID: 35821323)
1. A daily carbon emission prediction model combining two-stage feature selection and optimized extreme learning machine.
Kong F; Song J; Yang Z
Environ Sci Pollut Res Int; 2022 Dec; 29(58):87983-87997. PubMed ID: 35821323
[TBL] [Abstract][Full Text] [Related]
2. A novel short-term carbon emission prediction model based on secondary decomposition method and long short-term memory network.
Kong F; Song J; Yang Z
Environ Sci Pollut Res Int; 2022 Sep; 29(43):64983-64998. PubMed ID: 35482236
[TBL] [Abstract][Full Text] [Related]
3. A novel hybrid learning paradigm with feature extraction for carbon price prediction based on Bi-directional long short-term memory network optimized by an improved sparrow search algorithm.
Zhou J; Xu Z; Wang S
Environ Sci Pollut Res Int; 2022 Sep; 29(43):65585-65598. PubMed ID: 35488159
[TBL] [Abstract][Full Text] [Related]
4. Short-term prediction of carbon emissions based on the EEMD-PSOBP model.
Sun W; Ren C
Environ Sci Pollut Res Int; 2021 Oct; 28(40):56580-56594. PubMed ID: 34060019
[TBL] [Abstract][Full Text] [Related]
5. A hybrid air quality early-warning framework: An hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms.
Sharma E; Deo RC; Prasad R; Parisi AV
Sci Total Environ; 2020 Mar; 709():135934. PubMed ID: 31869708
[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 multi-factor combination prediction model of carbon emissions based on improved CEEMDAN.
Li G; Wu H; Yang H
Environ Sci Pollut Res Int; 2024 Mar; 31(14):20898-20924. PubMed ID: 38379042
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Fault Diagnosis of Balancing Machine Based on ISSA-ELM.
Li L; Liu K; Wang L; Sun L; Zhang Z; Guo H
Comput Intell Neurosci; 2022; 2022():4981022. PubMed ID: 36285275
[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. Ensemble system for short term carbon dioxide emissions forecasting based on multi-objective tangent search algorithm.
Liu Z; Jiang P; Wang J; Zhang L
J Environ Manage; 2022 Jan; 302(Pt A):113951. PubMed ID: 34678540
[TBL] [Abstract][Full Text] [Related]
12. A hybrid air pollutant concentration prediction model combining secondary decomposition and sequence reconstruction.
Sun W; Huang C
Environ Pollut; 2020 Nov; 266(Pt 3):115216. PubMed ID: 32763723
[TBL] [Abstract][Full Text] [Related]
13. Application of artificial intelligence based on synchrosqueezed wavelet transform and improved deep extreme learning machine in water quality prediction.
Song C; Yao L
Environ Sci Pollut Res Int; 2022 May; 29(25):38066-38082. PubMed ID: 35067886
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Forecasting CO
Wei S; Yuwei W; Chongchong Z
Environ Sci Pollut Res Int; 2018 Oct; 25(29):28985-28997. PubMed ID: 30109681
[TBL] [Abstract][Full Text] [Related]
17. Air quality prediction model based on mRMR-RF feature selection and ISSA-LSTM.
Wu H; Yang T; Li H; Zhou Z
Sci Rep; 2023 Aug; 13(1):12825. PubMed ID: 37550459
[TBL] [Abstract][Full Text] [Related]
18. A Deep Learning Model with Signal Decomposition and Informer Network for Equipment Vibration Trend Prediction.
Wang H; Guo M; Tian L
Sensors (Basel); 2023 Jun; 23(13):. PubMed ID: 37447674
[TBL] [Abstract][Full Text] [Related]
19. Comfort Prediction of Office Chair Surface Material Based on the ISSA-LSSVM.
Zhang X; Cheng Z; Zhang M; Zhu X; Zhang X
Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560192
[TBL] [Abstract][Full Text] [Related]
20. Carbon price forecasting based on modified ensemble empirical mode decomposition and long short-term memory optimized by improved whale optimization algorithm.
Yang S; Chen D; Li S; Wang W
Sci Total Environ; 2020 May; 716():137117. PubMed ID: 32074939
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]