Seasonal short-term photovoltaic power prediction based on GSK–BiGRU–XGboost considering correlation of meteorological factors

Seasonal short-term photovoltaic power prediction based on GSK–BiGRU–XGboost considering correlation of meteorological factors

Abstract The intermittency and randomness of photovoltaic power present different characteristics due to seasonal variations, which greatly affects the reliability of power supply. To boost the prediction accuracy of photovoltaic power, a short-term prediction combination model named GSK–BiGRU–XGboo...

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Bibliographic Details
Main Authors: Guojiang Xiong, Jing Zhang, Xiaofan Fu, Jun Chen, Ali Wagdy Mohamed
Format: Article
Language:English
Published: SpringerOpen 2024-11-01
Series:Journal of Big Data
Subjects:
Short-term PV power prediction
Gated recurrent unit
Extreme gradient boosting
Combination model
Gaining sharing knowledge-based algorithm
Online Access:https://doi.org/10.1186/s40537-024-01037-x
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https://doi.org/10.1186/s40537-024-01037-x

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