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

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).

Project instructions and configuration data for the dsgrid Standard Scenarios project

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.

Python utilities for comparing lists of U.S. counties

Python package for marshalling dsgrid data into a common HDF5 format

Python utilities for working with data source types used by the dsgrid project (i.e., AWS, PostgreSQL, and .parquet)