NDLI: Research and application on electric quantity forecast method based on the usage electrical characteristics of different industry and grey system

Content Provider	IEEE Xplore Digital Library
Author	Ye Lin-hao
Copyright Year	2015
Description	Author affiliation: Minist. of Planning Dev., Guangdong Power Grid Foshan Power Supply Bur., Foshan, China (Ye Lin-hao)
Abstract	Planning and construction of power grid depends on electric forecasting accuracy. This paper puts forward the GM(1,n) prediction method based on electrical characteristics of different industries, and studied its effects on the electric power demand analysis the fourteen leading industries in ChanCheng. Then, it is found that five industries have a significant influence on electric consumption by correlation degree analysis. Lastly, the optimal GM(1,n) model considering the key factors is brought out. Application examples show that the forecasting by this method is more accurate. It demonstrates the validity and applicability of the optimized GM method and provides guidance and reference to improve the level of power grid planning.
Sponsorship	IEEE
Starting Page	281
Ending Page	284
File Size	537680
Page Count	4
File Format	PDF
ISBN	9781479983742
e-ISBN	9781479983759
DOI	10.1109/GSIS.2015.7301869
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-18
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Electronic equipment Computational modeling electric quantity forecast GM (1,N) model correlation degree Predictive models usage electrical characteristics grey system Mathematical model
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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