Data Dictionary
At the beginning of a trial, you will have access to a forecast data extract with historical backcasts from your price nodes of interest.
| Column | Type | Description |
|---|---|---|
| object_name | string | Name of the object, typically a price node from the ISO. |
| object_type | string | Type of the object, such as 'price_node' or 'hub'. |
| object_subtype | string | Subtype of the object, providing additional classification details. |
| object_latitude | number | Latitude coordinate of the object. |
| object_longitude | number | Longitude coordinate of the object. |
| object_iso | string | ISO code representing the geographic area of the object. |
| power_plant | string | Name of the power plant, if applicable. |
| plant_technology | string | Technology used in the power plant, if applicable. |
| prime_mover_code | string | Code representing the type of primary mover (e.g., turbine) in the power plant. |
| plant_capacity | number | Capacity of the power plant in megawatts, if applicable. |
| target_id | integer | Identifier for the specific target of the forecasts. |
| description | string | Description of the target, typically the name of the series or market. |
| timezone | string | Timezone of the target. |
| iso | string | International Standards Organization code related to the target. |
| series_name | string | Name of the data series being forecasted. |
| scenario_id | integer | Identifier for the scenario under which the batch was created. |
| range_start | string | Start of the time range for which the batch applies (ISO 8601 format). |
| range_end | string | End of the time range for which the batch applies (ISO 8601 format). |
| schedule_id | integer | Identifier for the schedule according to which the batch is processed. |
| scheduled_at | string | Timestamp when the batch was scheduled (ISO 8601 format). |
| batch_id | integer | Identifier for the batch of forecasts. |
| batch_created_at | string | Timestamp when the batch was created (ISO 8601 format). |
| model_id | integer | Identifier for the model used to generate the forecasts. |
| model_created_at | string | Timestamp when the model was created (ISO 8601 format). |
| feature_id | integer | Identifier for the specific feature being forecasted in the batch. |
| timestamp | string | The exact time for which the forecast applies (ISO 8601 format). |
| p01 | number | The 1st percentile of the forecast, indicating extreme low outcomes. |
| p05 | number | The 5th percentile of the forecast. |
| p10 | number | The 10th percentile of the forecast. |
| p20 | number | The 20th percentile of the forecast. |
| p30 | number | The 30th percentile of the forecast. |
| p40 | number | The 40th percentile of the forecast. |
| p50 | number | The median forecast value or the 50th percentile. |
| p60 | number | The 60th percentile of the forecast. |
| p70 | number | The 70th percentile of the forecast. |
| p80 | number | The 80th percentile of the forecast. |
| p90 | number | The 90th percentile of the forecast, indicating more optimistic outcomes. |
| p95 | number | The 95th percentile of the forecast. |
| p99 | number | The 99th percentile of the forecast, indicating extremely high outcomes. |
| value | number | The expected value (average) at the forecast timestamp. |
| actual | number | The actual observed value, used for validation of the forecast. |
| error | number | The difference between the forecasted value and the actual value. |