Forecasting the total energy consumption in China using a new-structure grey system model. Issue 2 (7th August 2017)

• Record Type: Journal Article
• Authors: Zeng, Bo; Luo, Chengming
• Is Part Of: Grey systems. Volume 7:Issue 2(2017)
• Page Start: 194
• Page End: 217
• Publication Date: 2017-08-07
• Subjects: Grey theory -- Prediction model -- China's total energy consumption -- New-structure grey model -- Suggested policies; Cybernetics -- Periodicals; Systems engineering -- Periodicals; 003.5
• DOI: 10.1108/GS-05-2017-0011
• Languages: English
• ISSNs: 2043-9377

Abstract

Abstract : Purpose: China is by far the world's largest energy consumer and importer. Reasonably forecasting the trend of China's total energy consumption (CTEC) is of great significance. The purpose of this paper is to propose a new-structure grey system model (NSGM (1, 1)) to forecast CTEC. Design/methodology/approach: Two matrices for computing the parameters of NSGM (1, 1) were defined and the specific calculation formula was derived. Since the NSGM (1, 1) model increases the number of its background values, which improves the smoothness effect of the background value and weakens the effects of extreme values in the raw sequence on the model's performance; hence it has better simulation and prediction performances than traditional grey models. Finally, NSGM (1, 1) was used to forecast China's total energy consumption during 2016-2025. The forecast showed CTEC will grow rapidly in the next ten years. Findings: Therefore, in order to meet the target of keeping CTEC under control at 4.8 billion tons of standard coal in 2020, Chinese government needs to take necessary measures such as transforming the economic development pattern and enhancing the energy utilization efficiency. Originality/value: A new-structure grey forecasting model, NSGM (1, 1), is proposed in this paper, which improves the smoothness and weakens the effects of extreme values and has a better structure and performance than those of other grey models. The authors successfully employ the new model to simulate and forecast CTEC. The research findings could aid Chinese government in formulating energy policies and help energy exporters make rational energy yield plans.