Short-Term Wind Speed Prediction Based on Principal Component Analysis and LSTM
An<b> </b>accurate prediction of wind speed is crucial for the economic and resilient operation of power systems with a high penetration level of wind power. Meteorological information such as temperature, humidity, air pressure, and wind level has a significant influence on wind speed,...
Main Authors: | Dawei Geng, Haifeng Zhang, Hongyu Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/13/4416 |
Similar Items
-
Hybrid Bidirectional LSTM Model for Short-Term Wind Speed Interval Prediction
by: Adnan Saeed, et al.
Published: (2020-01-01) -
Multi-time scale wind speed prediction based on WT-bi-LSTM
by: Xiang Jinyong, et al.
Published: (2020-01-01) -
A Short-Term Wind Speed Forecasting Model Based on a Multi-Variable Long Short-Term Memory Network
by: Anqi Xie, et al.
Published: (2021-05-01) -
Wind Power Short-Term Prediction Based on LSTM and Discrete Wavelet Transform
by: Yao Liu, et al.
Published: (2019-03-01) -
Hybrid Deep Learning-Based Model for Wind Speed Forecasting Based on DWPT and Bidirectional LSTM Network
by: Amirhossein Dolatabadi, et al.
Published: (2020-01-01)