Title :
Electric power system load forecasting using separated modeling of Gompertz model
Author :
Zhan-Hui Liu ; Li, Geng-Yin ; Zhou, Hui-ming
Author_Institution :
Dept. of Appl. Math., North China Electr. Power Univ., Baoding, China
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 is commonly the special situation of the S-step average function. Combining the thought of related degree, the separated modeling method of Gompertz model is put forward. Taking the forecast of the power consumption some network as an example, the calculation results indicate that the error is smaller than 1%.
Keywords :
load forecasting; power consumption; power system simulation; Gompertz model; S-step average function; data mergence method; electric power system; grey system; load forecasting; power consumption; separated modelling method; Energy consumption; Energy management; Load forecasting; Load management; Load modeling; Mathematical model; Mathematics; Power system management; Power system modeling; Predictive models;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1378548
