We are predicting the normalized power output of a wind turbine. The model predicts the turbine's efficiency/production level, normalized between 0 and 1. Our objective is power forecasting/prediction in a normalized range.

The columns in the dataset are as follows:

Time - Hour of the day when readings occurred temperature_2m - Temperature in degrees Fahrenheit at 2 meters above the surface relativehumidity_2m - Relative humidity (as a percentage) at 2 meters above the surface dewpoint_2m - Dew point in degrees Fahrenheit at 2 meters above the surface windspeed_10m - Wind speed in meters per second at 10 meters above the surface windspeed_100m - Wind speed in meters per second at 100 meters above the surface winddirection_10m - Wind direction in degrees (0-360) at 10 meters above the surface (see notes) winddirection_100m - Wind direction in degrees (0-360) at 100 meters above the surface (see notes) windgusts_10m - Wind gusts in meters per second at 100 meters above the surface Power - Turbine output, normalized to be between 0 and 1 (i.e., a percentage of maximum potential output)