期刊论文、会议论文

Yin, Zizhong

英文

Proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, DRPT 2015

2015

1869-1873

2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT)

2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT)

November 2015

Changsha, China

[Yin, Zizhong;Chen, Zhong] Changsha Univ Sci & Technol, Coll Elect & Informat Engn, Changsha 410114, Peoples R China.^[Yin, Dongyang] State Grid Hunan Elect Power Co, Huitong Cty Power Supply Co Ltd, Huitong 418300, Peoples R China.^[Li, Qi] State Grid Bengbu Elect Power Supply Co, Elect Power Econ & Tech Res Inst, Bengbu 233000, Peoples R China.

Sch Elect Information Engn, Changsha Univ Sci Technol, IEEE Power & Energy soc, Inst Engn Technol, NSFC, SEE

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

10.1109/DRPT.2015.7432552

本校为第一且通讯机构

Short-term wind power prediction is important to the dispatch and operation of power system. A prediction model based on the rough set, principal component analysis (PCA) and Elman neural network (ElmanNN) is constructed for short-term wind speed forecasting to improve the prediction accuracy of short-term wind power. The wind speed prediction model is established by using ElmanNN, and PCA is used to extract the feature of wind speed data, which optimizes the inputs of ElmanNN. Furthermore, excitation function and the structures of network are improved to search for the optimum solution to fun...