Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation

The Research of Risk Transport Chain of Power Industry Carbon Emissions Trading Costs

Authors
Xiaobao Yu, Zhongfu Tan
Corresponding Author
Xiaobao Yu
Available Online April 2015.
DOI
https://doi.org/10.2991/icmra-15.2015.73How to use a DOI?
Keywords
Carbon emissions trading; History predicts; Transport chain; Optimization
Abstract
A great many uncertain factors affect the cost of carbon emissions trading, and they interact to form a complex system. To improve the accuracy of prediction, it is necessary to deepen the study of these influencing factors. Through investigation this paper identified 21 main factors affecting the cost of carbon emissions trading. By processing and interpretation of the structural model analysis, this paper constructed of carbon emissions trading costs and the impact of class structure factors transport chain. Take into account all the factors affecting the cost of carbon emissions trading, to improve the accuracy of prediction of improving related infrastructure. Take some areas for example, the paper compared error rate of prediction between the historical forecasting method and delivery chain method, the results indicate that the latter error rate lower, the average degree of optimization can be achieved 24.35%.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Mechatronics, Robotics and Automation
Part of series
Advances in Computer Science Research
Publication Date
April 2015
ISBN
978-94-62520-76-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmra-15.2015.73How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaobao Yu
AU  - Zhongfu Tan
PY  - 2015/04
DA  - 2015/04
TI  - The Research of Risk Transport Chain of Power Industry Carbon Emissions Trading Costs
BT  - 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 370
EP  - 374
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.73
DO  - https://doi.org/10.2991/icmra-15.2015.73
ID  - Yu2015/04
ER  -