Dongkun Luo
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Dongkun Luo has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
Guixin Jie
CNPC Great Wall Drilling Company, Beijing 100101, China
1 shared publicationJianye Liu
School of Business Administration, China University of Petroleum-Beijing, 18 Fuxue Road, Changping District, Beijing 102249, China
1 shared publicationWenhuan Wang
School of Business Administration, China University of Petroleum-Beijing, 18 Fuxue Road, Changping District, Beijing 102249, China
1 shared publication- Xiaoyu Wang
School of Finance, Inner Mongolia University of Finance and Economics, No. 185 North Second Ring Road, Huimin District, Hohhot 010070, China
1 shared publication
Latest Publications
- Open Access
- 1 January 2017
- Published by Wiley in Mathematical Problems in Engineering
- Vol. 2017 (1)
Prediction of Natural Gas Consumption in Different Regions of China Using a Hybrid MVO‐NNGBM Model
The accurate and reasonable prediction of natural gas consumption is significant for the government to formulate energy planning. To this end, we use the multiverse optimizer (MVO) algorithm to optimize the parameters of the Nash nonlinear grey Bernoulli model (NNGBM (1,1)) and propose a hybrid MVO‐NNGBM model to predict the natural gas consumption in 30 regions of China. The results indicate that the prediction precision of the hybrid MVO‐NNGBM model is better than that of other grey‐based models. According to the forecast results, China’s natural gas consumption will grow rapidly over the next five years and reach 354.1 billion cubic meters (bcm) by 2020. Moreover, the spatial distribution of natural gas consumption will shift from being supply oriented towards being demand driven and will be mainly concentrated in coastal and developed provinces.
- 1 January 2017
- Published by Wiley in Mathematical Problems in Engineering
- Vol. 2017 (1)
Open AccessPrediction of Natural Gas Consumption in Different Regions of China Using a Hybrid MVO‐NNGBM Model
The accurate and reasonable prediction of natural gas consumption is significant for the government to formulate energy planning. To this end, we use the multiverse optimizer (MVO) algorithm to optimize the parameters of the Nash nonlinear grey Bernoulli model (NNGBM (1,1)) and propose a hybrid MVO‐NNGBM model to predict the natural gas consumption in 30 regions of China. The results indicate that the prediction precision of the hybrid MVO‐NNGBM model is better than that of other grey‐based models. According to the forecast results, China’s natural gas consumption will grow rapidly over the next five years and reach 354.1 billion cubic meters (bcm) by 2020. Moreover, the spatial distribution of natural gas consumption will shift from being supply oriented towards being demand driven and will be mainly concentrated in coastal and developed provinces.