IEEE - Institute of Electrical and Electronics Engineers, Inc. - Two-Stage Short-Term Wind Speed Prediction Based on LSTM-LSSVM-CFA

2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2)

Author(s): Liming Zhang ; Bo Wang ; Biwu Fang ; Hengrui Ma ; Zheng Yang ; Yeyan Xu
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 October 2018
Conference Location: Beijing, China, China
Conference Date: 20 October 2018
Page(s): 1 - 6
ISBN (Electronic): 978-1-5386-8549-5
ISBN (USB): 978-1-5386-8548-8
DOI: 10.1109/EI2.2018.8582618
Regular:

Accurately predicting wind speed is vital to the large scale connection of wind power grids. This paper proposed a two-stage prediction way called LSTM-LSSVM-CFA (LSTMs-long short term memory... View More

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