Prediction of Solar PV Power Using Deep Learning With Correlation-Based Signal Synthesis

Prediction of Solar PV Power Using Deep Learning With Correlation-Based Signal Synthesis

Enhancement of the dispatching capacity and grid management efficiency requires knowledge of photovoltaic power generation beforehand. Intrinsically, photovoltaic power generation is highly volatile and irregular, which impedes its prediction accuracy. This paper proposes deep learning-based approac...

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Bibliographic Details
Main Authors: M. Dilshad Sabir, Kamran Hafeez, Samera Batool, Ghani Akbar, Laiq Khan, Ghulam Hafeez, Zahid Ullah
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Photovoltaic power prediction
Pearson correlation coefficient
empirical mode decomposition
correlation-based signal synthesis
long short-term memory
nonlinear autoregressive exogenous
Online Access:https://ieeexplore.ieee.org/document/10459019/

Internet

https://ieeexplore.ieee.org/document/10459019/

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