How-to: Access the ComStock datasets programmatically

These example scripts demonstrate how users can access the ComStock datasets programmatically and provide a jumping off point for analysis.

More content will be posted as it becomes available.

Python

Jupyter Notebook

These example notebooks were developed using the ComStock 2023 Release 2 dataset. Some dataset attributes, like column names, may have changed in later releases. Most notably, the ComStock sampling method was updated beginning with 2024 Release 2.

• Download Annual Baseline and Upgrade Data. Example Jupyter Notebook for pulling annual baseline and upgrade results from the Open Energy Data Initiative (OEDI) data lake, filtering to a specific geography, and plotting comparisons. Requires an Amazon Web Services (AWS) account.
• Download Individual Building Load Profiles. Example Jupyter Notebook for pulling individual baseline and upgrade load profiles from the OEDI data lake for a given geography and plotting comparisons. Requires an AWS account.