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Set Up and Maintain Net Zero Cloud
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          Recipes and Datasets

          Recipes and Datasets

          The app created by using the Prediction of Air Travel Emissions template creates the Yearly Air Travel Emission Predictions recipe and the Monthly Air Travel Emission Predictions recipe.

          Required Editions

          Available in: Lightning Experience and the Salesforce mobile app
          Available in: Enterprise, Developer, and Unlimited Editions
          Recipes and Datasets
          Recipe Description Generated Datasets
          Yearly Air Travel Emission Predictions This recipe calculates the total distance traveled by air and segregates the distance by haul length. The total distance is then multiplied with the standard emissions factor for air travel to get predicted the yearly carbon emissions for each country and cost center. The recipe also generates the actual air travel emissions until the current date. This data is shown in the Yearly Prediction Insights section on the Predicted Air Travel Emissions dashboard.
          • Predicted Yearly Air Travel Emission Dataset
          • Actual Yearly Air Travel Emission Dataset
          Monthly Air Travel Emission Predictions This recipe aggregates the scope 3 emissions for each employee country and cost center, and forecasts emissions for the next six months. The recipe also generates the actual air travel emissions for the past six months. This data is shown in the Monthly Air Travel Emissions section on the Predicted Air Travel Emissions dashboard.
          • Predicted Monthly Air Travel Emissions Dataset
          • Actual Monthly Air Travel Emission Dataset

          You can modify the recipe in these scenarios.

          • Your schema has deviated from the Net Zero schema.
          • A custom field of an existing entity has changed.
          • The usage of feature data has changed from an existing entity to a custom entity.
          • The data hasn’t loaded properly.
          • The app has stopped working because of incorrect data values.
           
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