A Short-Term Photovoltaic Power Forecasting Method Combining a Deep Learning Model with Trend Feature Extraction and Feature Selection

A Short-Term Photovoltaic Power Forecasting Method Combining a Deep Learning Model with Trend Feature Extraction and Feature Selection

High precision short-term photovoltaic (PV) power prediction can reduce the damage associated with large-scale photovoltaic grid-connection to the power system. In this paper, a combination deep learning forecasting method based on variational mode decomposition (VMD), a fast correlation-based filte...

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Bibliographic Details
Main Authors: Kaitong Wu, Xiangang Peng, Zilu Li, Wenbo Cui, Haoliang Yuan, Chun Sing Lai, Loi Lei Lai
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Energies
Subjects:
short-term PV power forecasting
trend feature extraction
fast correlation-based filter
bidirectional long short-term memory network
Online Access:https://www.mdpi.com/1996-1073/15/15/5410

Internet

https://www.mdpi.com/1996-1073/15/15/5410

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