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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Autori principali:	M. Dilshad Sabir, Kamran Hafeez, Samera Batool, Ghani Akbar, Laiq Khan, Ghulam Hafeez, Zahid Ullah
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2024-01-01
Serie:	IEEE Access
Soggetti:	Photovoltaic power prediction Pearson correlation coefficient empirical mode decomposition correlation-based signal synthesis long short-term memory nonlinear autoregressive exogenous
Accesso online:	https://ieeexplore.ieee.org/document/10459019/
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