Title :
Research on short term load forecasting in steel enterprise
Author :
Shi, Xinqi ; Xiuhua Du
Author_Institution :
Inst. of Autom., Shanghai Jiao Tong Univ., China
Abstract :
The paper analyses the characteristics of power load in steel enterprise such as the high capacity load and irregularity of active and reactive powers which change constantly following the change of time and condition of manufacture, etc. A satisfactory short term load forecasting is obtained by using BP neural networks through a calculated example of a steel enterprise.
Keywords :
backpropagation; load forecasting; neural nets; power engineering computing; steel industry; BP neural networks; active power; backpropagation model; load forecasting; reactive power; short term forecasting; steel industry; Artificial neural networks; Automatic control; Load forecasting; Manufacturing automation; Pulp manufacturing; Reactive power; Steel;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1020747
