Attention-Enhanced Fusion Network for Precise Ultra-Short-Term PV Power Forecasting

Accurate photovoltaic (PV) power prediction is crucial for ensuring grid stability and optimizing energy dispatch. However, the intermittency of solar energy and the complex influence of weather conditions present considerable obstacles. While transformer-based methods excel at capturing long-range...

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Veröffentlicht in:	IEEE Conference on Industrial Electronics and Applications (Online) S. 1 - 6
Hauptverfasser:	Zheng, Dongyang, Zhu, Rongwu
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 03.08.2025
Schlagworte:	Adaptation models Benchmark testing deep learning energy conversion feature fusion Fluctuations Forecasting Long short term memory Predictive models Renewable energy sources Solar energy Stability analysis Transformers
ISSN:	2158-2297
Online-Zugang:	Volltext
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