Research on Short-Term Prediction Method and Application of Energy Consumption in Guangzhou and its Districts

doi:10.1088/1755-1315/555/1/012087

GIEC OpenIR

	Research on Short-Term Prediction Method and Application of Energy Consumption in Guangzhou and its Districts
	Zhang,Y T 1,2,3; Cai,G T 1,2,3; Ke,S J 1,2,3,4; Gao,L P 1,2,3
	2020-08-01
发表期刊	IOP Conference Series: Earth and Environmental Science
ISSN	1755-1307
卷号	555 期号:1
摘要	Abstract Guangzhou’s energy consumption accounts for 24.9% of the energy consumption of Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The improvement of Guangzhou’s energy management system has a significant impact and exemplary role on the energy management of GBA. Therefore, Guangzhou needs annual, quarterly and monthly energy consumption prediction for the requirements of energy consumption control and establishment of refined energy management system. Meanwhile, due to the lack of historical data, it also needs a short-term prediction method of energy consumption with short cycle and small sample. The paper provided variety of city level prediction methods and all districts energy consumption prediction method to predict the energy consumption of Guangzhou in 2018.Then this paper verify the prediction methods, and apply them to the prediction of energy consumption in 2019 and 2020. The results show that in the case of short-term prediction and small data samples, we can use a variety of factors to predict the energy consumption by refining the data collection area. And the result of all districts energy consumption prediction method is closer to the actual value than that of other methods. However, there are some difficulties in data collection of districts. Thus, in order to establish an accurate short-term prediction method, it is also necessary to strengthen the combination of city and district level energy monitoring and management systems, and expands the channels for collection and summary of district level energy data. Finally, in the future, the prediction method can be applied to GBA after the establishment of unified energy information statistics system of each city in GBA.
DOI	10.1088/1755-1315/555/1/012087
语种	英语
WOS记录号	IOP:EES_555_1_012087
出版者	IOP Publishing
引用统计
文献类型	期刊论文
条目标识符	http://ir.giec.ac.cn/handle/344007/29919
专题	中国科学院广州能源研究所
作者单位	1.Guangzhou Institute of Energy Conversion, CAS, Guangzhou, China 2.The Key Laboratory of Renewable Energy, CAS, Guangzhou, China 3.University of Chinese Academy of Sciences, Beijing, China 4.Nano Science and Technology Institute, University of Science and Technology of China, Suzhou, China
推荐引用方式 GB/T 7714	Zhang,Y T,Cai,G T,Ke,S J,et al. Research on Short-Term Prediction Method and Application of Energy Consumption in Guangzhou and its Districts[J]. IOP Conference Series: Earth and Environmental Science,2020,555(1).
APA	Zhang,Y T,Cai,G T,Ke,S J,&Gao,L P.(2020).Research on Short-Term Prediction Method and Application of Energy Consumption in Guangzhou and its Districts.IOP Conference Series: Earth and Environmental Science,555(1).
MLA	Zhang,Y T,et al."Research on Short-Term Prediction Method and Application of Energy Consumption in Guangzhou and its Districts".IOP Conference Series: Earth and Environmental Science 555.1(2020).