Python package for working with demand-side grid projects, datasets and queries

Use an AI assistant to inspect and visualize your data.

Data and a supporting lightweight Python package that describes possible costs for enabling EV managed charging from now to 2050 for three dispatch mechanisms (TOU, RTP, and DLC) and four flexibility scenarios (Low, Mid, Flat, and High).

Python tool for assembling annual hourly electricity demand projections suitable for grid planning at the country-level.

Configuration files that describe high resolution demand-side decarbonization scenarios for the United States, as developed by staff from multiple U.S. DOE National Laboratories.

STRIDE datasets ready for import.

Project instructions and configuration data for the dsgrid Standard Scenarios project

Python utilities for comparing lists of U.S. counties

Python package for marshalling dsgrid data into a common HDF5 format