Semester Project for Energy Markets and Data Analytics, Rutgers, Spring 2024. Uses data from IEEE Hybrid Energy Forecasting and Trading Competition to create a forecasting model, apply conformal modeling to obtain probabilistic forecasts, and use conditional value at risk to optimize profits for energy trading.
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Semester Project for Energy Markets and Data Analytics, Rutgers, Spring 2024. Uses data from IEEE Hybrid Energy Forecasting and Trading Competition to create a forecasting model, apply conformal modeling to obtain probabilistic forecasts, and use conditional value at risk to optimize profits for energy trading.
dmoored4/EEDA-Conformal-Model
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Semester Project for Energy Markets and Data Analytics, Rutgers, Spring 2024. Uses data from IEEE Hybrid Energy Forecasting and Trading Competition to create a forecasting model, apply conformal modeling to obtain probabilistic forecasts, and use conditional value at risk to optimize profits for energy trading.
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