PV Power Prediction Based on LSTM With Adaptive Hyperparameter Adjustment

PV Power Prediction Based on LSTM With Adaptive Hyperparameter Adjustment

The randomness, volatility, and intermittence of solar power generation make it difficult to achieve the desired accuracy of PV output-power prediction. Therefore, the time learning weight (TLW) proposed in this paper is used to improve the time correlation of the LSTM network. The Fusion Activation...

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Bibliographic Details
Main Authors: Minkang Chai, Fei Xia, Shuotao Hao, Daogang Peng, Chenggang Cui, Wei Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Photovoltaic output power
ultra-short-term prediction
long short term memory (LSTM)
time weight decoupling
adaptive hyperparameter adjustment
Online Access:https://ieeexplore.ieee.org/document/8808846/

Internet

https://ieeexplore.ieee.org/document/8808846/

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