In this release, we enhanced the experience of uploading data with the spreadsheet template, by adding more data validation within the spreadsheet to prevent input errors and an additional validation step after uploading the spreadsheet. This data validation step will alert users if there are any buildings with missing information, inaccurate information, or building names that match existing records in the Portfolio.
Also, users now have the ability to track their usage of compute resources. In Team Settings, the Credit Usage graph displays how many credits the team has consumed over the last 12 months, 30 days, or 7 days.
Finally, we added the ability to cancel models. If you’ve made a mistake editing data, or uploading the wrong information, you can now cancel the model to prevent unwanted credit usage and to make it easier to recover from mistakes. We also fixed several bugs related to calculating the median from a probability distribution when measuring energy and carbon savings from each intervention. This will help improve the accuracy and reliability of our predictions.