TY - JOUR
T1 - Grey system modeling approach to power system yearly peak load forecasting
AU - Shih, Kuang Rong
AU - Yang, Hong Tzer
AU - Liang, Tian Chui
AU - Huang, Ching Lien
PY - 1997/9/1
Y1 - 1997/9/1
N2 - Applications of grey system modeling techniques to prediction of power system yearly peak loads and their occurring dates are described in this paper. For yearly peak load forecasting, a new hybrid grey model of GM(1,1) in conjunction with GM(1,2) is proposed. Corresponding dates on which peak loads occur are predicted by using the topological forecasting method. Complying with the characteristics of minimal historical yearly peak load records (only one peak load value for a year), the grey system techniques used in this paper only require a small amount of historical data (3 to 7 points of data) to set up a highly accurate forecasting model. The effectiveness of the developed models is demonstrated by predicting the actual Taiwan Power (Taipower) yearly peak loads and their related occurring dates.
AB - Applications of grey system modeling techniques to prediction of power system yearly peak loads and their occurring dates are described in this paper. For yearly peak load forecasting, a new hybrid grey model of GM(1,1) in conjunction with GM(1,2) is proposed. Corresponding dates on which peak loads occur are predicted by using the topological forecasting method. Complying with the characteristics of minimal historical yearly peak load records (only one peak load value for a year), the grey system techniques used in this paper only require a small amount of historical data (3 to 7 points of data) to set up a highly accurate forecasting model. The effectiveness of the developed models is demonstrated by predicting the actual Taiwan Power (Taipower) yearly peak loads and their related occurring dates.
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M3 - Article
AN - SCOPUS:0031234033
SN - 0255-6588
VL - 21
SP - 445
EP - 453
JO - Proceedings of the National Science Council, Republic of China, Part A: Physical Science and Engineering
JF - Proceedings of the National Science Council, Republic of China, Part A: Physical Science and Engineering
IS - 5
ER -