Title :
Discussion of “Combined Nonparametric Prediction Intervals for Wind Power Generation”
Author :
Can Wan ; Zhao Xu ; Ostergaard, Jacob ; Zhao Yang Dong ; Kit Po Wong
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hong Kong, China
Abstract :
In [1], the lower upper bounds estimation (LUBE) method is proposed to construct combined nonparametric prediction intervals (PIs) of wind power generation, which is also used in [2]. We would like to commend the authors for their efforts in exploring probabilistic wind power forecasting, which is an important research area toward a renewable-energy-penetrated operation environment for power systems.
Keywords :
load forecasting; probability; wind power; combined nonparametric prediction intervals; lower upper bounds estimation method; power systems; probabilistic wind power forecasting; renewable-energy-penetrated operation environment; wind power generation; Artificial neural networks; Cost function; Power system reliability; Wind power generation;
Journal_Title :
Sustainable Energy, IEEE Transactions on
DOI :
10.1109/TSTE.2014.2323836
