TY - JOUR
T1 - Short term load forecasting using fuzzy model of the orthogonal least square method
AU - Zhao, Dengfu
AU - Zhou, Lin
AU - Shen, Xuhui
AU - Zhang, Jiangshe
AU - Wang, Xifan
PY - 2002/4
Y1 - 2002/4
N2 - An algorithm for short term load forecasting based on a fuzzy model of the orthogonal least square method (OLS) is presented. The generation of fuzzy rules, and the selection of the model inputs and membership functions are all obtained from historical data. Therefore, the bottle-neck difficulty in knowledge acquaintance by questionnaire and experience is overcome. In the mathematic model, identification of the premise part and consequent part is separately accomplished. In the practical examples, the accuracy of this method is higher than that of the RBF method by 0.3%-0.5%. With this method, the computing time is only one second for every model.
AB - An algorithm for short term load forecasting based on a fuzzy model of the orthogonal least square method (OLS) is presented. The generation of fuzzy rules, and the selection of the model inputs and membership functions are all obtained from historical data. Therefore, the bottle-neck difficulty in knowledge acquaintance by questionnaire and experience is overcome. In the mathematic model, identification of the premise part and consequent part is separately accomplished. In the practical examples, the accuracy of this method is higher than that of the RBF method by 0.3%-0.5%. With this method, the computing time is only one second for every model.
KW - Fuzzy inference system
KW - Load forecasting
KW - Orthogonal least square method
UR - https://www.scopus.com/pages/publications/0036553765
M3 - 文章
AN - SCOPUS:0036553765
SN - 0253-987X
VL - 36
SP - 331
EP - 334
JO - Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University
JF - Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University
IS - 4
ER -