Forecasting Natural Gas Consumption of China Using a Novel Grey Model
As is known, natural gas consumption has been acted as an extremely important role in energy market of China, and this paper is to present a novel grey model which is based on the optimized nonhomogeneous grey model (ONGM (1,1)) in order to accurately predict natural gas consumption. This study begi...
Saved in:
Main Authors: | Chengli Zheng, Wen-Ze Wu, Jianming Jiang, Qi Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/3257328 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Novel Optimized Nonlinear Grey Bernoulli Model for Forecasting China’s GDP
by: Wen-Ze Wu, et al.
Published: (2019-01-01) -
A Novel Fractional Hausdorff Discrete Grey Model for Forecasting the Renewable Energy Consumption
by: Yuzhen Chen, et al.
Published: (2022-01-01) -
Forecasting Renewable Energy Consumption Using a Novel Fractional Grey Reverse Accumulation Model
by: Yipeng Zhang, et al.
Published: (2025-01-01) -
A Novel Power-Driven Grey Model with Whale Optimization Algorithm and Its Application in Forecasting the Residential Energy Consumption in China
by: Peng Zhang, et al.
Published: (2019-01-01) -
Forecasting Crude Oil Consumption in China Using a Grey Prediction Model with an Optimal Fractional-Order Accumulating Operator
by: Huiming Duan, et al.
Published: (2018-01-01)