Forecasting the Electricity Consumption of Commercial Sector in Hong Kong Using a Novel Grey Dynamic Prediction Model

被引：1

作者：

Zeng, Bo ^{[1
,2
]}

Tan, Yongtao ^{[3
]}

Xu, Hui ^{[3
,4
]}

Quan, Jing ^{[1
]}

Wang, Luyun ^{[1
]}

Zhou, Xueyu ^{[1
]}

机构：

[1] Chongqing Technol & Business Univ, Coll Rongzhi, Chongqing 401320, Peoples R China

[2] Univ Elect Sci & Technol, Sch Management & Econ, Chengdu 611731, Sichuan, Peoples R China

[3] Hong Kong Polytech Univ, Dept Bldg & Real Estate, Kowloon, Hong Kong, Peoples R China

[4] Chongqing Univ, Sch Construct Management & Real Estate, Chongqing 400045, Peoples R China

来源：

JOURNAL OF GREY SYSTEM | 2018年 / 30卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Electricity Consumption Forecasting; Grey Dynamic Prediction Model (GDPM); Commercial Sector; Hong Kong; ARTIFICIAL NEURAL-NETWORKS; ENERGY-CONSUMPTION; REGRESSION-ANALYSIS; DEMAND; TURKEY; CLIMATE; SYSTEMS;

D O I：

暂无

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Energy is a critical component that underpins economic development. In Hong Kong, the commercial sector account for more than 60% of the total electricity consumption. With economic development, there will be an increasing demand for electricity, especially the commercial sector. Therefore, it is necessary to forecast the electricity consumption in the future and find possible solutions to meet the increasing demand. In this paper, a novel grey dynamic prediction model (GDPM) is proposed to forecast the electricity consumption of commercial sector in Hong Kong. Six models, including GDPM are used, respectively, to simulate the electricity consumption of commercial sector in Hong Kong during Years 1997-2008 and forecast the consumption during Years 2009-2015. The results show that the proposed GDPM has better forecasting performance than the other five models. Furthermore, the GDPM is used to forecast the electricity consumption of Hong Kong over the next five years. The forecast findings show the total electricity consumption of commercial sector will reach to 108050.0 Terajoule in 2020. Therefore, it is necessary for the Hong Kong Government to think about how to meet the increasing electricity demand.

引用

页码：159 / 174

页数：16

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