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Set Up and Maintain Net Zero Cloud
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            Create an App to Predict Carbon Emission and Fuel Consumption of Stationary Assets

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            Create an App to Predict Carbon Emission and Fuel Consumption of Stationary Assets

            Use the Stationary Asset Energy Consumption template to create an app that generates predictions about carbon emissions and fuel consumption of your stationary assets for a specific year.

            Required Editions

            Available in: Lightning Experience
            Available in: Enterprise, Performance, Unlimited, and Developer Editions
            1. From the App Launcher, find and select Analytics Studio.
            2. Click Create, and then select App.
            3. Select Stationary Asset Energy Consumption, and then click Continue.
            4. Review the preview page, and then click Continue.
            5. Choose to create an app or to use settings from an existing app, and then click Continue.
              Analytics runs a compatibility check of the data in Salesforce.
              1. If the compatibility check fails, follow the instructions in the error message to resolve the issues, and then try to create the app again.
              2. If the compatibility check completes successfully, click Looks good, next.
            6. If you have imported and synced external stationary asset data, select the dataset containing this data, and then click Looks good, next.
            7. Enter the year for which you want to get energy consumption predictions and suggestions to reduce your predicted carbon emissions, and then click Looks good, next.
              You can change the prediction year later, in the dashboard.
            8. Enter a name for your app, and then click Create.
              The creation of the app takes a few minutes. When the process is complete, refresh the page to view your app.

            The app now runs preconfigured recipes to create feature, example, and prediction datasets, and dashboards. The app also installs the Einstein Discovery model that generates the predictions.

             
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