Wind Power Prediction Based on LSTM Networks and Nonparametric Kernel Density Estimation

Wind Power Prediction Based on LSTM Networks and Nonparametric Kernel Density Estimation

Wind energy is a kind of sustainable energy with strong uncertainty. With a large amount of wind power injected into the power grid, it will inevitably affect the security, stability and economic operation of the power grid. High-precision wind power spot prediction and fluctuation interval informat...

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Bibliographic Details
Main Authors: Bowen Zhou, Xiangjin Ma, Yanhong Luo, Dongsheng Yang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Wind power prediction
Kernel density estimation
long short-term memory
K-means clustering
probabilistic interval prediction
Online Access:https://ieeexplore.ieee.org/document/8894464/

Internet

https://ieeexplore.ieee.org/document/8894464/

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