Development of MVMD-EO-LSTM Model for a Short-Term Photovoltaic Power Prediction

Development of MVMD-EO-LSTM Model for a Short-Term Photovoltaic Power Prediction

The accuracy and stability of short-term photovoltaic (PV) power prediction is crucial for power planning and dispatching in a grid system. For this reason, the multi-resolution variational modal decomposition (MVMD) method is proposed to achieve multi-scale input features mining for short-term PV p...

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Bibliographic Details
Main Authors: Xiaozhi Gao, Lichi Gao, Hsiung-Cheng Lin, Yanming Huo, Yaheng Ren, Wang Guo
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
solar energy
short-term PV power forecast
multiresolution variational modal decomposition (MVMD)
feature extraction
equilibrium optimizer (EO)
long short-term memory (LSTM)
Online Access:https://www.mdpi.com/1996-1073/15/19/7332

Internet

https://www.mdpi.com/1996-1073/15/19/7332

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