Power system yearly peak load forecasting: A grey system modeling approach
Conference
·
OSTI ID:433826
- Chung Yuan Christian Univ., Chung Li (Taiwan, Province of China). Dept. of Electrical Engineering
- National Cheng Kung Univ., Tainan (Taiwan, Province of China). Dept. of Electrical Engineering
Applications of grey system modeling techniques to predict 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 the 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 just feature that a small amount of historical data (3 to 7 points of data) are required to set up a high forecasting-accuracy model. Effectiveness of the developed models has been demonstrated through predicting the actual Taiwan Power (Taipower) yearly peak loads and the occurring dates.
- OSTI ID:
- 433826
- Report Number(s):
- CONF-951136--; ISBN 0-7803-2981-3
- Country of Publication:
- United States
- Language:
- English
Similar Records
Customer short term load forecasting by using ARIMA transfer function model
An estimation of the effect of load management; The case of Taipower
Identification of ARMAX model for short term load forecasting: An evolutionary programming approach
Conference
·
Sat Dec 30 23:00:00 EST 1995
·
OSTI ID:433836
An estimation of the effect of load management; The case of Taipower
Journal Article
·
Thu Dec 31 23:00:00 EST 1987
· Energy Systems and Policy; (USA)
·
OSTI ID:7260507
Identification of ARMAX model for short term load forecasting: An evolutionary programming approach
Journal Article
·
Wed Jan 31 23:00:00 EST 1996
· IEEE Transactions on Power Systems
·
OSTI ID:244774