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Journals
Applied Mathematics and Nonlinear Sciences
Volume 8 (2023): Issue 2 (July 2023)
Open Access
Ultra-short-term power forecast of photovoltaic power station based on VMD–LSTM model optimised by SSA
Jing Yizhou
Jing Yizhou
,
Yang Siqi
Yang Siqi
and
Zhang Kegeng
Zhang Kegeng
| Sep 05, 2022
Applied Mathematics and Nonlinear Sciences
Volume 8 (2023): Issue 2 (July 2023)
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Published Online:
Sep 05, 2022
Page range:
823 - 834
Received:
Apr 25, 2022
Accepted:
Jun 15, 2022
DOI:
https://doi.org/10.2478/amns.2021.2.00246
Keywords
photovoltaic power station
,
sparrow algorithm
,
long-term memory neural network
,
ultra-short term
,
power prediction
© 2023 Jing Yizhou et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Fig. 1
Influence of weather types on photovoltaic power
Fig. 2
VMD decomposition results
Fig. 3
LSTM network structure.LSTM, long short-term memory
Fig. 4
Forecast process
Fig. 5
Forecast results of photovoltaic power on a sunny day on November 7
Fig. 6
Forecast results of photovoltaic power on a cloudy day of June 5
Fig. 7
Forecast results of sudden change weather on January 8