The Research of Risk Transport Chain of Power Industry Carbon Emissions Trading Costs
Xiaobao Yu, Zhongfu Tan
Available Online April 2015.
- https://doi.org/10.2991/icmra-15.2015.73How to use a DOI?
- Carbon emissions trading; History predicts; Transport chain; Optimization
- 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%.
- 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 -