A Hybrid Deep Learning Model and Comparison for Wind Power Forecasting Considering Temporal-Spatial Feature Extraction

A Hybrid Deep Learning Model and Comparison for Wind Power Forecasting Considering Temporal-Spatial Feature Extraction

The inherent intermittency and uncertainty of wind power have brought challenges in accurate wind power output forecasting, which also cause tricky problems in the integration of wind power to the grid. In this paper, a hybrid deep learning model bidirectional long short term memory-convolutional ne...

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Bibliographic Details
Main Authors: Hao Zhen, Dongxiao Niu, Min Yu, Keke Wang, Yi Liang, Xiaomin Xu
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sustainability
Subjects:
wind power
deep learning
power forecast
hybrid model
BiLSTM-CNN
Online Access:https://www.mdpi.com/2071-1050/12/22/9490

Internet

https://www.mdpi.com/2071-1050/12/22/9490

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