Ultra-Short-Term Photovoltaic Power Prediction Based on Predictable Component Reconstruction and Spatiotemporal Heterogeneous Graph Neural Networks

Ultra-Short-Term Photovoltaic Power Prediction Based on Predictable Component Reconstruction and Spatiotemporal Heterogeneous Graph Neural Networks

Ultra-short-term PV power prediction (USTPVPP) results provide a basis for the development of intra-day rolling power generation plans. However, due to the feature information and the unpredictability of meteorology, the current ultra-short-term PV power prediction accuracy improvement still faces t...

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Bibliographic Details
Main Authors: Yingjie Liu, Mao Yang
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Series:Energies
Subjects:
circulant singular spectrum decomposition
predictable component extraction and reconstruction
STHGNN-Ns-Transformer
ultra-short-term photovoltaic power prediction
Online Access:https://www.mdpi.com/1996-1073/18/15/4192
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