linear_regression_models: Linear models for overall optimization. Regressors: X
2019_models: 2019 Models sqrt_models: Sqrt models for overall optimization. Regressor: sqrt(X), X
quadratic_models: Quadratic models for overall optimization. Regressors: X^2, X
neural_network_models: Neural networks for overall optimization. Regressors: X
pressure_models: Pressure constraint models. Built for discharge at Cheyenne, Ault, and Fort Lupton.
pressure_current_models: Transforming currents to an expected pressure, so the operators can put that as a set-point.

EWMA: Exponentially weighted moving average code. Used for exponentially smoothing data.
MinMaxNorm: Min-Max normalization. $x_{norm} = \frac{x_i - x_{min}}{x_{max} - x_{min]}$
Seq_plot: Sequential plot definition to validate the machine learning models in production
DRA_Curves: DRA Cost curves