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Search: subject:"Grey Model"
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1
Forecasting the potential of global marine shipping carbon emission under artificial intelligence based on a novel multivariate discrete
grey
model
Zeng, Zirui
;
Xu, Junwen
;
Shiwei, Zhou
;
Zhao, Yufeng
; …
- In:
Marine economics and management : MAEM
7
(
2024
)
1
,
pp. 42-66
Purpose - To achieve sustainable development in shipping, accurately identifying the impact of artificial intelligence on shipping carbon emissions and predicting these emissions is of utmost importance. Design/methodology/approach - A multivariable discrete grey prediction model (WFTDGM) based...
Persistent link: https://www.econbiz.de/10015046355
Saved in:
2
A compound accumulation
grey
model
and its prediction of new energy generation in BRICS countries
Guo, Jianlong
;
Li, Xi
;
Mu, Yali
;
Zhao, Fei
;
Wu, Lifeng
; …
- In:
Energy strategy reviews
50
(
2023
),
pp. 1-20
Africa (BRICS). A new compound accumulation
grey
model
is proposed by introducing two adjusting factors. The parameters of …
Persistent link: https://www.econbiz.de/10014574203
Saved in:
3
Assessing the current and future effects of Covid-19 on energy related-CO2 emissions in the United States using seasonal fractional
grey
model
Şahin, Utkucan
;
Chen, Yan
- In:
Energy strategy reviews
50
(
2023
),
pp. 1-16
Accurate CO2 forecasting plays an important role in energy planning. However, in the annual forecasting studies on CO2 emissions, the seasonal effects cannot be predicted. To overcome this problem, this study proposed a novel prediction model based on the seasonally optimised fractional...
Persistent link: https://www.econbiz.de/10014574942
Saved in:
4
Forecasting of electrical energy consumption of households in a smart grid
Souhe, Felix Ghislain Yem
;
Mbey, Camille Franklin
; …
- In:
International Journal of Energy Economics and Policy : IJEEP
11
(
2021
)
6
,
pp. 221-233
Persistent link: https://www.econbiz.de/10012797971
Saved in:
5
Forecasting international tourism demand- an empirical case in Taiwan
Thanh-Lam Nguyen
;
Shu, Ming-hung
;
Hsu, Bi-min
- In:
Asian Journal of Empirical Research
3
(
2013
)
6
,
pp. 711-724
, autoregressive integrated moving average (ARIMA),
Grey
model
, and their joint Fourier modified models, this paper aims at obtaining …
Persistent link: https://www.econbiz.de/10009779153
Saved in:
6
Forecasting The Manpower Requirement in Vietnamese Tertiary Institutions
Chia-Nan, Wang
;
Ty, Nguyen Nhu
- In:
Asian Journal of Empirical Research
3
(
2013
)
5
,
pp. 563-575
Vietnamese Education and Training from 1999 to 2011 and adapting
Grey
Model
to forecast. This study also analyses on the trending …
Persistent link: https://www.econbiz.de/10010676281
Saved in:
7
Forecasting International Tourism Demand- An Empirical Case in Taiwan
NGUYEN, Thanh-Lam
;
SHU, Ming-Hung
;
HSU, Bi-Min
- In:
Asian Journal of Empirical Research
3
(
2013
)
6
,
pp. 711-724
, autoregressive integrated moving average (ARIMA),
Grey
model
, and their joint Fourier modified models, this paper aims at obtaining …
Persistent link: https://www.econbiz.de/10010765626
Saved in:
8
Hybrid grey forecasting model for Iran’s energy consumption and supply
Mostafaei, Hamidreza
;
Kordnoori, Shaghayegh
- In:
International Journal of Energy Economics and Policy : IJEEP
2
(
2012
)
3
,
pp. 97-102
Persistent link: https://www.econbiz.de/10009719273
Saved in:
9
Forecast of Grain Production of China during the Twelfth Five-Year Plan Period
Men, Ke-pei
;
Zhu, Shu-dan
;
Zhao, Kai
- In:
Asian Agricultural Research
03
(
2011
)
05
and establishing the square root-treated
grey
model
, the empirical analysis and forecast research on the grain output of …
Persistent link: https://www.econbiz.de/10009365716
Saved in:
10
Forecasting Monthly Electric Energy Consumption Using Feature Extraction
Meng, Ming
;
Niu, Dongxiao
;
Sun, Wei
- In:
Energies
4
(
2011
)
10
,
pp. 1495-1507
waves were modeled separately by a
grey
model
and radio basis function neural networks. Adding the forecasting values of … each model can yield the forecasting results for monthly electricity consumption. The
grey
model
has a good capability for …
Persistent link: https://www.econbiz.de/10010668113
Saved in:
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