Day-Ahead Nonparametric Probabilistic Forecasting of Photovoltaic Power Generation Based on the LSTM-QRA Ensemble Model

Day-Ahead Nonparametric Probabilistic Forecasting of Photovoltaic Power Generation Based on the LSTM-QRA Ensemble Model

With the rapid growth of photovoltaic (PV) power in recent years, the stability of system operation, the performance of system contingency analysis as well as the power quality of the power grid are threatened by the inherent uncertainty and fluctuation of PV output. It is necessary to have the know...

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Bibliographic Details
Main Authors: Fei Mei, Jiaqi Gu, Jixiang Lu, Jinjun Lu, Jiatang Zhang, Yuhan Jiang, Tian Shi, Jianyong Zheng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Probabilistic forecasting
photovoltaic output
quantile regression averaging (QRA)
long short-term memory (LSTM)
interval prediction
nonparametric forecasting
Online Access:https://ieeexplore.ieee.org/document/9186100/

Internet

https://ieeexplore.ieee.org/document/9186100/

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