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A cross-variable spectral coherence-enhanced transformer for high-precision photovoltaic power forecasting

delete2026-08-03
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PRE
AI
Y
Yanbin Zhang
Z
Zihao Lv *
Y
Ye Yuan
DOI:10.1016/j.neucom.2026.134702delete
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Abstract

Abstract

En 中文
• Proposes CVSC-Transformer, a novel frequency-domain model for PV power forecasting. • Introduces cross-variable spectral dependency to capture phase-shifted meteorological relationships. • Achieves state-of-the-art performance on five real-world datasets. • Features an adaptive frequency weighting mechanism for inherent interpretability. • Demonstrates particular advantages in medium-to-long-term forecasting tasks on multivariate data.

Journal

Neurocomputing cover
Neurocomputing
IF:
6.5
Papers:
2.5W
Citations:
6.5W

Organization

S
southwest university
Scholars:
4.3K
Papers: 1.4K
Citations: 0
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