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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258588
