Title :
Research on intelligent forecasting method of medium and long-term electricity load
Author :
Wang Deji ; Lian Jie ; Xie Junming
Author_Institution :
Henan Radio & Telev. Univ., Zhengzhou, China
Abstract :
Because traditional prediction algorithm can not accurately forecast long-term electricity load, chaos SVM prediction algorithm was introduced and some of its characteristics were discussed. The kernel function was chosen under the guidance of the geometric information. The experiment shows that the algorithm is more accurate and effective than the others.
Keywords :
chaos; load forecasting; prediction theory; support vector machines; chaos SVM prediction algorithm; geometric information; intelligent forecasting method; kernel function; long-term electricity load forecasting; medium-term electricity load forecasting; prediction algorithm; Chaos; Electricity; Electronic mail; Forecasting; Prediction algorithms; Support vector machines; TV; Chaos; Prediction; SVM;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3
