Input data:
- Line ID
- coordinates of the towers of each overhead line Client (such as an openinframap ID, or kml file)
- conductor type for each chosen overhead line of the Client
- the voltage level of each overhead line
- number of conductors in each phase
- the maximum permissible operating temperature of the line
- absorptivity and emissivity of the conductors
Output data:
- Line ID (or span ID with the span-level forecast)
- Rating type
- Timestamp for when the rating was calculated
- Timestamp for when the rating applies
- Rating values at the following confidence intervals:
- Rating with 50% confidence
- Rating with 75% confidence
- Rating with 90% confidence
- Rating with 95% confidence
- Rating with 98% confidence
- Rating with 99% confidence
The output of the prediction is a probability distribution of weather variables in each chosen location. The benefit of predicting a probability distribution instead of a single number is that it enables the user to select an acceptable confidence level for their use.
Screenshot of Gridraven Claw showing the span-level DLR prediction (left) and the line-level line rating and weather forecast (right).