TY - GEN
T1 - Wind power forecasting considering wind turbine condition
AU - Yan, Pei
AU - Zheng, Qian
AU - Niya, Chen
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/1/19
Y1 - 2016/1/19
N2 - In recent years, rapid growth of the wind power all around the world highlights the requirement of developing accurate wind power forecasting method. Since the wind power generation mainly relies on wind speed and wind turbine condition, a novel wind power forecasting strategy considering wind turbine condition is proposed in this paper. The proposed strategy which can predict several-hours-ahead wind power is based on wavelet method and Support Vector Machine method. Real-world dataset is adopted to evaluate the efficiency of the proposed method. Simulation results show that the proposed method can improve wind power forecasting accuracy compared with traditional forecasting strategy.
AB - In recent years, rapid growth of the wind power all around the world highlights the requirement of developing accurate wind power forecasting method. Since the wind power generation mainly relies on wind speed and wind turbine condition, a novel wind power forecasting strategy considering wind turbine condition is proposed in this paper. The proposed strategy which can predict several-hours-ahead wind power is based on wavelet method and Support Vector Machine method. Real-world dataset is adopted to evaluate the efficiency of the proposed method. Simulation results show that the proposed method can improve wind power forecasting accuracy compared with traditional forecasting strategy.
KW - Support Vector Machine
KW - Wavelet
KW - Wind power forecasting
KW - wind turbine condition
UR - https://www.scopus.com/pages/publications/84964928699
U2 - 10.1109/ISGT-Asia.2015.7387115
DO - 10.1109/ISGT-Asia.2015.7387115
M3 - 会议稿件
AN - SCOPUS:84964928699
T3 - Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015
BT - Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015
Y2 - 3 November 2015 through 6 November 2015
ER -