Forecasting of Wastewater Discharge and the Energy Consumption in China Based on Grey Model
Joint Authors
Li, ZhenHua
Zou, ZhiHong
Yu, Yang
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Water pollution control is currently an important development strategy for China.
Analysis and forecasting of wastewater discharge and the energy consumption are critical for this strategy.
In this paper, we proposed the two time series models, namely, improved GM(0,n) model (IGM(0,n)) and optimized FGM(1,1) model (OFGM(1,1)).
Two numerical experiments were used to test the validity of these models.
It was indicated that the forecasting ability of two models had remarkably improved, compared to traditional FGM(1,1) and GM(0,n), respectively.
We applied the two models to forecast wastewater discharge and energy consumption in China.
The forecasting results have shown that the current growth rate in treated wastewater could meet the planning target of the 13th Five-Year Plan.
The wastewater discharge and the energy consumption would reach 77.39 billion tons and 22.75 billion kWh, respectively, in 2020.
American Psychological Association (APA)
Li, ZhenHua& Zou, ZhiHong& Yu, Yang. 2019. Forecasting of Wastewater Discharge and the Energy Consumption in China Based on Grey Model. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1195480
Modern Language Association (MLA)
Li, ZhenHua…[et al.]. Forecasting of Wastewater Discharge and the Energy Consumption in China Based on Grey Model. Mathematical Problems in Engineering No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1195480
American Medical Association (AMA)
Li, ZhenHua& Zou, ZhiHong& Yu, Yang. Forecasting of Wastewater Discharge and the Energy Consumption in China Based on Grey Model. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1195480
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195480