Results 171 to 180 of about 1,895,263 (209)
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Chemosphere, 2020
Air pollution are known to have negative impacts on human health and the ecosystem, and it also contributes to climate change. Hence, prevention and control of air pollution is an urgent need in China, and air pollution prediction can provide reliable ...
Suling Zhu, Mingming Lu, Xingrong Liu
exaly +2 more sources
Air pollution are known to have negative impacts on human health and the ecosystem, and it also contributes to climate change. Hence, prevention and control of air pollution is an urgent need in China, and air pollution prediction can provide reliable ...
Suling Zhu, Mingming Lu, Xingrong Liu
exaly +2 more sources
IEEE Transactions on Automatic Control, 2020
To improve the identification efficiency of the auxiliary model based gradient iterative algorithm, this article derives a couple of interval error correction auxiliary model based gradient iterative (IEC-AM-GI) algorithms for multirate AutoRegressive ...
Jing Chen, Feng Ding, Quanmin Zhu
exaly +2 more sources
To improve the identification efficiency of the auxiliary model based gradient iterative algorithm, this article derives a couple of interval error correction auxiliary model based gradient iterative (IEC-AM-GI) algorithms for multirate AutoRegressive ...
Jing Chen, Feng Ding, Quanmin Zhu
exaly +2 more sources
Forecasting Construction Material Prices Using Vector Error Correction Model
Journal of Construction Engineering and Management - ASCE, 2018This paper presents a vector error correction (VEC) model for use in forecasting the short- and long-term prices of construction materials.
Sayed Amir Mohsen Faghih, Hamed Kashani
exaly +2 more sources
Journal of Cleaner Production, 2020
Previous studies have considered the effect of financial development on carbon emissions; however, few studies have explored the role of green finance in carbon mitigation.
Qinglong Shao, Ruoyu Zhong
exaly +2 more sources
Previous studies have considered the effect of financial development on carbon emissions; however, few studies have explored the role of green finance in carbon mitigation.
Qinglong Shao, Ruoyu Zhong
exaly +2 more sources
Neurocomputing, 2019
With the growing penetration of wind power, the wind power forecasting is fundamental in aiding the grid scheduling and electricity trading. In this paper, a numerical weather prediction wind speed error correction model based on gated recurrent unit ...
Min Ding, Yosuke Nakanishi
exaly +2 more sources
With the growing penetration of wind power, the wind power forecasting is fundamental in aiding the grid scheduling and electricity trading. In this paper, a numerical weather prediction wind speed error correction model based on gated recurrent unit ...
Min Ding, Yosuke Nakanishi
exaly +2 more sources
Energy Conversion and Management, 2020
Wind speed forecasting is crucial in exploiting wind energy and integrating power grid. This study presents a novel hybrid model, which includes decomposition module with real-time decomposition strategy, forecasting module and error correction module ...
Bo-Fu Wang, Zhiming Lu
exaly +2 more sources
Wind speed forecasting is crucial in exploiting wind energy and integrating power grid. This study presents a novel hybrid model, which includes decomposition module with real-time decomposition strategy, forecasting module and error correction module ...
Bo-Fu Wang, Zhiming Lu
exaly +2 more sources
Energy Conversion and Management, 2020
As wind power accounts for an increasing proportion of the electricity market, the wind speed prediction plays a vital role in the stable operation of the power grid.
Zherui Ma +2 more
exaly +2 more sources
As wind power accounts for an increasing proportion of the electricity market, the wind speed prediction plays a vital role in the stable operation of the power grid.
Zherui Ma +2 more
exaly +2 more sources
IEEE Transactions on Industrial Electronics, 2019
This paper proposes a novel error correction grey prediction model for degradation prediction of renewable energy storages. The proposed approach uses an error correction factor ψ to eliminate the inherent error of the original grey model (GM), and at ...
Daming Zhou +2 more
exaly +2 more sources
This paper proposes a novel error correction grey prediction model for degradation prediction of renewable energy storages. The proposed approach uses an error correction factor ψ to eliminate the inherent error of the original grey model (GM), and at ...
Daming Zhou +2 more
exaly +2 more sources
, 2021
Few studies have discussed marine industrial upgrading and its association with marine economic growth and technological innovation. This study uses a vector error correction model (VECM) to explore the short-term and long-term relationship between ...
Qinglong Shao +3 more
semanticscholar +1 more source
Few studies have discussed marine industrial upgrading and its association with marine economic growth and technological innovation. This study uses a vector error correction model (VECM) to explore the short-term and long-term relationship between ...
Qinglong Shao +3 more
semanticscholar +1 more source
Stronger Baselines for Grammatical Error Correction Using a Pretrained Encoder-Decoder Model
AACL, 2020Studies on grammatical error correction (GEC) have reported on the effectiveness of pretraining a Seq2Seq model with a large amount of pseudodata. However, this approach requires time-consuming pretraining of GEC because of the size of the pseudodata. In
Satoru Katsumata, Mamoru Komachi
semanticscholar +1 more source