Zobrazeno 1 - 10
of 466
pro vyhledávání: '"Combination forecasting"'
Autor:
Apostolos Ampountolas
Publikováno v:
Forecasting, Vol 5, Iss 2, Pp 472-486 (2023)
This study analyzes the transmission of market uncertainty on key European financial markets and the cryptocurrency market over an extended period, encompassing the pre-, during, and post-pandemic periods. Daily financial market indices and price obs
Externí odkaz:
https://doaj.org/article/9a1e2338994342f69b3da43339375b4e
Autor:
Hu, Yi-Chung
Publikováno v:
Grey Systems: Theory and Application, 2022, Vol. 13, Issue 2, pp. 277-296.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/GS-07-2022-0079
Publikováno v:
Atmosphere, Vol 15, Iss 4, p 507 (2024)
As a significant source of anthropogenic greenhouse gas emissions, the municipal solid waste sector’s greenhouse gas emission mode remains unknown, hampering effective decision-making on possible greenhouse gas emission reductions. Rapid urbanizati
Externí odkaz:
https://doaj.org/article/b75e097336cc48ada447781dcdd312a3
Publikováno v:
Cogent Economics & Finance, Vol 11, Iss 1 (2023)
AbstractThe research objective of the present study is the development of a model for increased accuracy of steel-price forecasts, which is of paramount importance for firms who use steel as an input and thus need to make informed decisions with rega
Externí odkaz:
https://doaj.org/article/f565c17b98734939a46ed1487ff84bb7
Autor:
Xiao Xiaoqing, Duan Xinhui, Zhao Yongfa, Pan Junzhen, Shen Guiquan, Pan Xiaomei, Wang Quanxi, Lutfi Bishr
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 1, Pp 715-722 (2023)
This paper studies a combination forecasting model with strong adaptability and high dimension to evaluate value of patents, and verifies the model empirically in the research. Through the AHP analysis, five necessary factors that affect the value of
Externí odkaz:
https://doaj.org/article/08765182c75944d78e95a679febb3975
Publikováno v:
IEEE Access, Vol 11, Pp 14841-14858 (2023)
This paper proposes an EEMD-Hurst-LSTM prediction method based on the ensemble learning framework, which is applied to the prediction of typical commodities in China’s commodity futures market. This method performs ensemble empirical mode decomposi
Externí odkaz:
https://doaj.org/article/a2c1933a802f439e8d5ac9b713dd3bbd
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 12442-12455 (2022)
Accurate forecasting of energy consumption in office buildings is of great importance for optimal management of energy consumption and reduction of building energy consumption. A variety of combination forecasting models (FMs) have become the current
Externí odkaz:
https://doaj.org/article/5d8bba122e6c4d46bf53ce1015215323
Akademický článek
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Akademický článek
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Publikováno v:
Grey Systems: Theory and Application, 2021, Vol. 12, Issue 2, pp. 293-317.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/GS-11-2020-0146