Short-Term Photovoltaic Power Forecasting Using PV Data and Sky Images in an Auto Cross Modal Correlation Attention Multimodal Framework

Short-Term Photovoltaic Power Forecasting Using PV Data and Sky Images in an Auto Cross Modal Correlation Attention Multimodal Framework

The accurate prediction of photovoltaic (PV) power generation is crucial for improving virtual power plant (VPP) efficiency and power system stability. However, short-term PV power forecasting remains highly challenging due to the significant impact of weather changes, especially the complexity of c...

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Bibliographic Details
Main Authors: Chen Pan, Yuqiao Liu, Yeonjae Oh, Changgyoon Lim
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
Subjects:
short-term photovoltaic power forecasting
multimodal learning
attention mechanism
virtual power plant
sky image
Online Access:https://www.mdpi.com/1996-1073/17/24/6378
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