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For: Wang D, Wei S, Luo H, Yue C, Grunder O. A novel hybrid model for air quality index forecasting based on two-phase decomposition technique and modified extreme learning machine. Sci Total Environ 2017;580:719-733. [PMID: 27989476 DOI: 10.1016/j.scitotenv.2016.12.018] [Citation(s) in RCA: 78] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2016] [Revised: 11/12/2016] [Accepted: 12/02/2016] [Indexed: 06/06/2023]
Number Cited by Other Article(s)
1
Zhang J, Dong L, Huang H, Hua P. Elucidating and forecasting the organochlorine pesticides in suspended particulate matter by a two-stage decomposition based interpretable deep learning approach. WATER RESEARCH 2024;266:122315. [PMID: 39217646 DOI: 10.1016/j.watres.2024.122315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 07/01/2024] [Accepted: 08/21/2024] [Indexed: 09/04/2024]
2
Liu Y, Wen L, Lin Z, Xu C, Chen Y, Li Y. Air quality historical correlation model based on time series. Sci Rep 2024;14:22791. [PMID: 39354085 PMCID: PMC11445545 DOI: 10.1038/s41598-024-74246-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 09/24/2024] [Indexed: 10/03/2024]  Open
3
Yang H, Gao Y, Zhao F, Wang J. An intelligent interval forecasting system based on fuzzy time series and error distribution characteristics for air quality index. ENVIRONMENTAL RESEARCH 2024;251:118577. [PMID: 38432567 DOI: 10.1016/j.envres.2024.118577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 02/07/2024] [Accepted: 02/26/2024] [Indexed: 03/05/2024]
4
Wang W, Liu B, Tian Q, Xu X, Peng Y, Peng S. Predicting dust pollution from dry bulk ports in coastal cities: A hybrid approach based on data decomposition and deep learning. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024;350:124053. [PMID: 38677458 DOI: 10.1016/j.envpol.2024.124053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 04/21/2024] [Accepted: 04/24/2024] [Indexed: 04/29/2024]
5
Deng Y, Xu T, Sun Z. A hybrid multi-scale fusion paradigm for AQI prediction based on the secondary decomposition. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024;31:32694-32713. [PMID: 38658513 DOI: 10.1007/s11356-024-33346-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 04/12/2024] [Indexed: 04/26/2024]
6
Wani AK, Rahayu F, Ben Amor I, Quadir M, Murianingrum M, Parnidi P, Ayub A, Supriyadi S, Sakiroh S, Saefudin S, Kumar A, Latifah E. Environmental resilience through artificial intelligence: innovations in monitoring and management. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024;31:18379-18395. [PMID: 38358626 DOI: 10.1007/s11356-024-32404-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 02/06/2024] [Indexed: 02/16/2024]
7
Shi G, Leung Y, Zhang J, Zhou Y. Modeling the air pollution process using a novel multi-site and multi-scale method with adaptive utilization of spatio-temporal information. CHEMOSPHERE 2024;349:140799. [PMID: 38052313 DOI: 10.1016/j.chemosphere.2023.140799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 11/15/2023] [Accepted: 11/22/2023] [Indexed: 12/07/2023]
8
Du X, Yuan Z, Huang D, Ma W, Yang J, Mo J. Importance of secondary decomposition in the accurate prediction of daily-scale ozone pollution by machine learning. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023;904:166963. [PMID: 37696411 DOI: 10.1016/j.scitotenv.2023.166963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 08/17/2023] [Accepted: 09/08/2023] [Indexed: 09/13/2023]
9
Luo Q, Peng D, Shang W, Gu Y, Luo X, Zhu Z, Pang B. Water quality analysis based on LSTM and BP optimization with a transfer learning model. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023;30:124341-124352. [PMID: 37999839 DOI: 10.1007/s11356-023-31068-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/12/2023] [Indexed: 11/25/2023]
10
Cheng S, Chen X, Zhang Y, Wang Y, Li X, Li X, Xie P. Multiscale information interaction at local frequency band in functional corticomuscular coupling. Cogn Neurodyn 2023;17:1575-1589. [PMID: 37974587 PMCID: PMC10640559 DOI: 10.1007/s11571-022-09895-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 08/17/2022] [Accepted: 09/18/2022] [Indexed: 11/26/2022]  Open
11
Zhu JJ, Yang M, Ren ZJ. Machine Learning in Environmental Research: Common Pitfalls and Best Practices. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023;57:17671-17689. [PMID: 37384597 DOI: 10.1021/acs.est.3c00026] [Citation(s) in RCA: 113] [Impact Index Per Article: 56.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/01/2023]
12
Song Q, Zou J, Xu M, Xi M, Zhou Z. Air quality prediction for Chengdu based on long short-term memory neural network with improved jellyfish search optimizer. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023;30:64416-64442. [PMID: 37067716 DOI: 10.1007/s11356-023-26782-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 03/29/2023] [Indexed: 05/11/2023]
13
Nandi BP, Singh G, Jain A, Tayal DK. Evolution of neural network to deep learning in prediction of air, water pollution and its Indian context. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY : IJEST 2023:1-16. [PMID: 37360564 PMCID: PMC10148580 DOI: 10.1007/s13762-023-04911-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 07/22/2022] [Accepted: 03/25/2023] [Indexed: 06/28/2023]
14
Zhang X, Zheng Z. Prediction of suspended sediment concentration in the lower Yellow River in China based on the coupled CEEMD-NAR model. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023;30:30960-30971. [PMID: 36441324 DOI: 10.1007/s11356-022-24406-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 11/22/2022] [Indexed: 06/16/2023]
15
Zhang X, Zheng Z. A Novel Groundwater Burial Depth Prediction Model Based on Two-Stage Modal Decomposition and Deep Learning. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022;20:345. [PMID: 36612668 PMCID: PMC9819980 DOI: 10.3390/ijerph20010345] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 12/22/2022] [Accepted: 12/22/2022] [Indexed: 06/17/2023]
16
Zhao L, Li Z, Qu L. Forecasting of Beijing PM2.5 with a hybrid ARIMA model based on integrated AIC and improved GS fixed-order methods and seasonal decomposition. Heliyon 2022;8:e12239. [PMID: 36590504 PMCID: PMC9800338 DOI: 10.1016/j.heliyon.2022.e12239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 11/17/2022] [Accepted: 12/01/2022] [Indexed: 12/13/2022]  Open
17
Ji C, Zhang C, Hua L, Ma H, Nazir MS, Peng T. A multi-scale evolutionary deep learning model based on CEEMDAN, improved whale optimization algorithm, regularized extreme learning machine and LSTM for AQI prediction. ENVIRONMENTAL RESEARCH 2022;215:114228. [PMID: 36084674 DOI: 10.1016/j.envres.2022.114228] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 08/15/2022] [Accepted: 08/25/2022] [Indexed: 06/15/2023]
18
Dong L, Hua P, Gui D, Zhang J. Extraction of multi-scale features enhances the deep learning-based daily PM2.5 forecasting in cities. CHEMOSPHERE 2022;308:136252. [PMID: 36055593 DOI: 10.1016/j.chemosphere.2022.136252] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 07/14/2022] [Accepted: 08/26/2022] [Indexed: 06/15/2023]
19
Yang H, Liu Z, Li G. A new hybrid optimization prediction model for PM2.5 concentration considering other air pollutants and meteorological conditions. CHEMOSPHERE 2022;307:135798. [PMID: 35964719 DOI: 10.1016/j.chemosphere.2022.135798] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 07/18/2022] [Accepted: 07/19/2022] [Indexed: 06/15/2023]
20
Li G, Tang Y, Yang H. A new hybrid prediction model of air quality index based on secondary decomposition and improved kernel extreme learning machine. CHEMOSPHERE 2022;305:135348. [PMID: 35718028 DOI: 10.1016/j.chemosphere.2022.135348] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 05/26/2022] [Accepted: 06/12/2022] [Indexed: 06/15/2023]
21
Xu S, Li W, Zhu Y, Xu A. A novel hybrid model for six main pollutant concentrations forecasting based on improved LSTM neural networks. Sci Rep 2022;12:14434. [PMID: 36002466 PMCID: PMC9402967 DOI: 10.1038/s41598-022-17754-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 07/30/2022] [Indexed: 12/03/2022]  Open
22
Kow PY, Chang LC, Lin CY, Chou CCK, Chang FJ. Deep neural networks for spatiotemporal PM2.5 forecasts based on atmospheric chemical transport model output and monitoring data. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022;306:119348. [PMID: 35487466 DOI: 10.1016/j.envpol.2022.119348] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/13/2022] [Accepted: 04/20/2022] [Indexed: 06/14/2023]
23
Prediction of Retail Price of Sporting Goods Based on LSTM Network. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022;2022:4298235. [PMID: 35855800 PMCID: PMC9288340 DOI: 10.1155/2022/4298235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 06/06/2022] [Accepted: 06/15/2022] [Indexed: 12/03/2022]
24
A decomposition-ensemble broad learning system for AQI forecasting. Neural Comput Appl 2022. [DOI: 10.1007/s00521-022-07448-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
25
Hajirahimi Z, Khashei M. Hybridization of hybrid structures for time series forecasting: a review. Artif Intell Rev 2022. [DOI: 10.1007/s10462-022-10199-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
26
Teng M, Li S, Xing J, Song G, Yang J, Dong J, Zeng X, Qin Y. 24-Hour prediction of PM2.5 concentrations by combining empirical mode decomposition and bidirectional long short-term memory neural network. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022;821:153276. [PMID: 35074389 DOI: 10.1016/j.scitotenv.2022.153276] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 01/15/2022] [Accepted: 01/16/2022] [Indexed: 06/14/2023]
27
Fuzzy-based missing value imputation technique for air pollution data. Artif Intell Rev 2022. [DOI: 10.1007/s10462-022-10168-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
28
Ke H, Gong S, He J, Zhang L, Cui B, Wang Y, Mo J, Zhou Y, Zhang H. Development and application of an automated air quality forecasting system based on machine learning. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022;806:151204. [PMID: 34710417 DOI: 10.1016/j.scitotenv.2021.151204] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 10/20/2021] [Accepted: 10/20/2021] [Indexed: 06/13/2023]
29
Zaini N, Ean LW, Ahmed AN, Malek MA. A systematic literature review of deep learning neural network for time series air quality forecasting. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022;29:4958-4990. [PMID: 34807385 DOI: 10.1007/s11356-021-17442-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 11/05/2021] [Indexed: 06/13/2023]
30
Li G, Chen K, Yang H. A new hybrid prediction model of cumulative COVID-19 confirmed data. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION : TRANSACTIONS OF THE INSTITUTION OF CHEMICAL ENGINEERS, PART B 2022;157:1-19. [PMID: 34744323 PMCID: PMC8560186 DOI: 10.1016/j.psep.2021.10.047] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 10/25/2021] [Accepted: 10/27/2021] [Indexed: 05/04/2023]
31
Jiang F, Zhang C, Sun S, Sun J. Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method. Appl Soft Comput 2021. [DOI: 10.1016/j.asoc.2021.107988] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
32
Wang W, Wang J. Determinants investigation and peak prediction of CO2 emissions in China's transport sector utilizing bio-inspired extreme learning machine. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021;28:55535-55553. [PMID: 34138431 DOI: 10.1007/s11356-021-14852-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 06/08/2021] [Indexed: 05/21/2023]
33
Adnan RM, R. Mostafa R, Kisi O, Yaseen ZM, Shahid S, Zounemat-Kermani M. Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization. Knowl Based Syst 2021. [DOI: 10.1016/j.knosys.2021.107379] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
34
Qiao W, Wang Y, Zhang J, Tian W, Tian Y, Yang Q. An innovative coupled model in view of wavelet transform for predicting short-term PM10 concentration. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021;289:112438. [PMID: 33872873 DOI: 10.1016/j.jenvman.2021.112438] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Revised: 02/19/2021] [Accepted: 03/19/2021] [Indexed: 06/12/2023]
35
A Hybrid Model for Air Quality Prediction Based on Data Decomposition. INFORMATION 2021. [DOI: 10.3390/info12050210] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]  Open
36
The optimized GRNN based on the FDS-FOA under the hesitant fuzzy environment and its application in air quality index prediction. APPL INTELL 2021. [DOI: 10.1007/s10489-021-02350-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
37
Liu H, Yan G, Duan Z, Chen C. Intelligent modeling strategies for forecasting air quality time series: A review. Appl Soft Comput 2021. [DOI: 10.1016/j.asoc.2020.106957] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
38
Shi G, Leung Y, Zhang JS, Fung T, Du F, Zhou Y. A novel method for identifying hotspots and forecasting air quality through an adaptive utilization of spatio-temporal information of multiple factors. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021;759:143513. [PMID: 33246725 DOI: 10.1016/j.scitotenv.2020.143513] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 10/22/2020] [Accepted: 10/28/2020] [Indexed: 06/12/2023]
39
Wang Z, Chen H, Zhu J, Ding Z. Multi-scale deep learning and optimal combination ensemble approach for AQI forecasting using big data with meteorological conditions. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2021. [DOI: 10.3233/jifs-202481] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
40
A Simple Dendritic Neural Network Model-Based Approach for Daily PM2.5 Concentration Prediction. ELECTRONICS 2021. [DOI: 10.3390/electronics10040373] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
41
A spatial multi-resolution multi-objective data-driven ensemble model for multi-step air quality index forecasting based on real-time decomposition. COMPUT IND 2021. [DOI: 10.1016/j.compind.2020.103387] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
42
A new secondary decomposition ensemble learning approach for carbon price forecasting. Knowl Based Syst 2021. [DOI: 10.1016/j.knosys.2020.106686] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
43
Yan D, Kong Y, Ye B, Xiang H. Spatio-temporal variation and daily prediction of PM2.5 concentration in world-class urban agglomerations of China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2021;43:301-316. [PMID: 32901402 DOI: 10.1007/s10653-020-00708-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Accepted: 08/26/2020] [Indexed: 05/21/2023]
44
Integration of PV into the Sarajevo Canton Energy System-Air Quality and Heating Challenges. ENERGIES 2020. [DOI: 10.3390/en14010123] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
45
Du P, Wang J, Hao Y, Niu T, Yang W. A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting. Appl Soft Comput 2020. [DOI: 10.1016/j.asoc.2020.106620] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
46
Liang CJ, Liang JJ, Jheng CW, Tsai MC. A rolling forecast approach for next six-hour air quality index track. ECOL INFORM 2020. [DOI: 10.1016/j.ecoinf.2020.101153] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
47
Zalakeviciute R, Alexandrino K, Rybarczyk Y, Debut A, Vizuete K, Diaz M. Seasonal variations in PM10 inorganic composition in the Andean city. Sci Rep 2020;10:17049. [PMID: 33046746 PMCID: PMC7550351 DOI: 10.1038/s41598-020-72541-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 08/20/2020] [Indexed: 11/09/2022]  Open
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Wang Z, Chen L, Zhu J, Chen H, Yuan H. Double decomposition and optimal combination ensemble learning approach for interval-valued AQI forecasting using streaming data. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020;27:37802-37817. [PMID: 32613510 DOI: 10.1007/s11356-020-09891-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Accepted: 06/25/2020] [Indexed: 06/11/2023]
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Liu B, Guo X, Lai M, Wang Q. Air Pollutant Concentration Forecasting Using Long Short-Term Memory Based on Wavelet Transform and Information Gain: A Case Study of Beijing. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2020;2020:8834699. [PMID: 33061948 PMCID: PMC7545461 DOI: 10.1155/2020/8834699] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 09/08/2020] [Accepted: 09/14/2020] [Indexed: 12/01/2022]
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Wen L, Cao Y. A hybrid intelligent predicting model for exploring household CO2 emissions mitigation strategies derived from butterfly optimization algorithm. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020;727:138572. [PMID: 32498209 DOI: 10.1016/j.scitotenv.2020.138572] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 04/02/2020] [Accepted: 04/07/2020] [Indexed: 06/11/2023]
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