DocumentCode
2897687
Title
Power Consumption Figure Forecasting using Separated Modeling of Gompertz Model
Author
Lu, Zhan-Hui ; Liu, Xi-pai ; Zhang, Ya-gang
Author_Institution
Sch. of Math. & Phys., North China Electr. Power Univ., Baoding
fYear
2006
fDate
13-16 Aug. 2006
Firstpage
3655
Lastpage
3660
Abstract
Based on further investigating the separated modeling method of grey system, we have studied general grouping number of GM (1, 1) separated modeling and mergence method of data. It is obtained that the mergence function commonly is the special situation of the S-step average function. The separated modeling method of Gompertz model is put forward. Taking forecast of the power consumption figure of some network as an example, the calculation results indicate that the error is smaller than 1%
Keywords
grey systems; load forecasting; power consumption; Gompertz model; S-step average function; grey system; mergence function; power consumption figure forecasting; separated modeling method; Cybernetics; Economic forecasting; Energy consumption; Energy management; Load forecasting; Machine learning; Mathematical model; Mathematics; Physics; Power system management; Power system modeling; Predictive models; Gompertz model; Power Consumption figure; mergence function; separate modeling; separation;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location
Dalian, China
Print_ISBN
1-4244-0061-9
Type
conf
DOI
10.1109/ICMLC.2006.258588
Filename
4028705
Link To Document