Short-Term Photovoltaic Power Forecasting Based on VMD and ISSA-GRU

Short-Term Photovoltaic Power Forecasting Based on VMD and ISSA-GRU

Photovoltaic (PV) power generation is affected by many meteorological factors and environmental factors, which has obvious intermittent, random, and volatile characteristics. To improve the accuracy of short-term PV power prediction, a hybrid model (VMD-ISSA-GRU) based on variational mode decomposit...

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Bibliographic Details
Main Authors: Pengyun Jia, Haibo Zhang, Xinmiao Liu, Xianfu Gong
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Short-term PV power forecast
variational mode decomposition
improved sparrow search algorithm
GRU neural network
Online Access:https://ieeexplore.ieee.org/document/9493199/

Internet

https://ieeexplore.ieee.org/document/9493199/

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