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  • Search: subject:"data decomposition"
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Year of publication
Subject
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Decomposition method 4 Dekompositionsverfahren 4 Theorie 4 Theory 4 Data decomposition 3 Estimation 2 Forecasting model 2 Kalman smoother 2 Prognoseverfahren 2 Schock 2 Schätzung 2 Shock 2 State space model 2 Zustandsraummodell 2 data decomposition 2 Air pollution 1 Artificial intelligence 1 CO2 emissions 1 Coal price forecasting 1 Data decomposition mode 1 De-noising 1 Deep learning 1 Demand 1 Double decomposition 1 Empirical mode decomposition 1 Ensemble learning 1 Evaluation criterion 1 Greenhouse gas emissions 1 Hybrid prediction model 1 Künstliche Intelligenz 1 Latent variables 1 Learning process 1 Lernprozess 1 Luftverschmutzung 1 Nachfrage 1 Non-stationary and nonlinear system 1 Parameter selection 1 Semi-supervised feature enhancement 1 Shock decomposition 1 Time series analysis 1
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Online availability
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Undetermined 5 Free 1
Type of publication
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Article 5 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1 research-article 1
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Language
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English 5 Undetermined 1
Author
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Chung, Hess 2 Fuentes-Albero, Cristina 2 Paustian, Matthias 2 Pfajfar, Damjan 2 Bi, Jian-Wu 1 Chevallier, Julien 1 Guo, Yida 1 Han, Tian-Yu 1 Han, Yilin 1 Shen, Lin 1 Song, Zan 1 Tang, Jing 1 Wang, Jianzhou 1 Wang, Yelin 1 Wu, Jie 1 Xiao, Qingtai 1 Yang, Ping 1 Yao, Yanbo 1 Zhang, Wenyu 1 Zhao, Weigang 1
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Published in...
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Applied Energy 1 Computational economics 1 Data Technologies and Applications 1 Finance and economics discussion series 1 Journal of economic dynamics & control 1 Tourism economics : the business and finance of tourism and recreation 1
Source
All
ECONIS (ZBW) 4 RePEc 1 Other ZBW resources 1
Showing 1 - 6 of 6
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Intelligent prediction of annual CO2 emissions under data decomposition mode
Wang, Yelin; Yang, Ping; Song, Zan; Chevallier, Julien; … - In: Computational economics 63 (2024) 2, pp. 711-740
Persistent link: https://www.econbiz.de/10014472551
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A hybrid method for forecasting coal price based on ensemble learning and deep learning with data decomposition and data enhancement
Tang, Jing; Guo, Yida; Han, Yilin - In: Data Technologies and Applications 58 (2024) 3, pp. 472-495
/methodology/approach The proposed coal price forecasting system combines data decomposition, semi-supervised feature engineering, ensemble … proposed coal price forecasting system stands out as it integrates data decomposition, semi-supervised feature engineering …
Persistent link: https://www.econbiz.de/10015342713
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Fine-grained tourism demand forecasting : a decomposition ensemble deep learning model
Bi, Jian-Wu; Han, Tian-Yu; Yao, Yanbo - In: Tourism economics : the business and finance of tourism … 29 (2023) 7, pp. 1736-1763
Persistent link: https://www.econbiz.de/10014384540
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Latent variables analysis in structural models : a new decomposition of the Kalman smoother
Chung, Hess; Fuentes-Albero, Cristina; Paustian, Matthias; … - 2020
Persistent link: https://www.econbiz.de/10012389843
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Latent variables analysis in structural models : A new decomposition of the kalman smoother
Chung, Hess; Fuentes-Albero, Cristina; Paustian, Matthias; … - In: Journal of economic dynamics & control 125 (2021), pp. 1-25
Persistent link: https://www.econbiz.de/10012667010
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Performance analysis of four modified approaches for wind speed forecasting
Zhang, Wenyu; Wu, Jie; Wang, Jianzhou; Zhao, Weigang; … - In: Applied Energy 99 (2012) C, pp. 324-333
Providing accurate wind speed prediction algorithms has become increasingly significant because of the important technological and economic impacts of wind speed on wind power generation. In this study, two combined strategies for wind speed forecasting are proposed and followed. Four approaches...
Persistent link: https://www.econbiz.de/10010594052
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