honglinwen/Conditional-normalizing-flow-for-wind-power-forecasting
Code for paper "Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach" https://arxiv.org/abs/2206.02433
This helps energy grid operators and wind farm managers forecast future wind power output with greater accuracy. By inputting historical weather data and past power generation, it provides a range of probable future power generation scenarios, helping you make more informed decisions about grid stability and energy trading. This tool is for professionals managing wind energy assets or integrating wind power into an electrical grid.
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Use this if you need to predict the probabilistic range of future wind power generation to manage energy grids or optimize wind farm operations.
Not ideal if you only need a single point forecast for wind power or if your forecasting does not require an understanding of uncertainty.
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Feb 22, 2025
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