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Physics informed virtual sensor modeling for wind power prediction
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AI
DOI：10.1016/j.energy.2026.140691.png)
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Abstract
En 中文
• A simplified energy conservation model is developed based on fundamental physical principles governing the wind power generation process. • A novel physics-informed neural network is introduced based on the simplified energy conservation model.
Keywords:
Wind Power Prediction
Energy Conservation Model
Physics-Informed Neural Network
Virtual Sensor Modeling
Renewable Energy Forecasting
Journal
IF:
9.4
Papers:
4.2W
Citations:
20.2W