L-A-Sandhu/Physics-Informed-Vectors-For-Wind-Speed-Prediction
Official Implementation of Integrating Physics-Informed Vectors for Improved Wind Speed Forecasting with Neural Networks
This project helps wind energy professionals and meteorologists improve the accuracy of wind speed forecasts. It takes historical wind speed data and, by incorporating physical principles, produces more reliable predictions of future wind speeds. The primary users are those who need precise wind speed estimates for operational planning or energy trading.
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Use this if you need to generate highly accurate wind speed forecasts for energy management, renewable energy planning, or meteorological applications.
Not ideal if you need a general-purpose time series forecasting tool not specifically designed for wind speed prediction or if you lack historical wind data.
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Language
Python
License
CC0-1.0
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Last pushed
Mar 24, 2025
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