Title :
A novel approach to long term load forecasting where functional relations and impact relations coexist
Author :
Jia, N.X. ; Yokoyama, R. ; Zhou, Y.C.
Author_Institution :
Tokyo Metropolitan Univ., Japan
Abstract :
This paper presents a flexible long-term load forecasting using a new dynamic method, General Simulation (GSIM) method, which can treat two kinds of logical and intuitive information simultaneously and integrally. We divide the relations of factors affecting load demand into functional relations and impact relations. By describing the functional relations by functional formula and impact relations by impact matrix, we can consider both of the relations as a whole simultaneously in our load model. The successful load forecasting results prove the possibility of improving the forecasting accuracy of conventional approaches.
Keywords :
load forecasting; power system simulation; General Simulation method; artificial intelligence based method; dynamic method; forecasting accuracy improvement; functional relations; impact matrix; impact relations; intuitive information; load demand; logical information; long term load forecasting; parametric method; Artificial intelligence; Demand forecasting; Engines; Information processing; Load forecasting; Load modeling; Power generation; Power system modeling; Power system planning; Predictive models;
Conference_Titel :
Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on
Conference_Location :
Budapest, Hungary
Print_ISBN :
0-7803-5836-8
DOI :
10.1109/PTC.1999.826469