Traditional stock models are coarse grain, often relying on a few prototype models to represent a single building type in a single climate zone. For some analyses, such coarse granularity can average out relevant details and return “all-or-nothing” results that miss significant opportunities. ResStock is a multi-resolution residential stock modeling framework. ResStock combines data from multiple sources including the EIA’s Residential Energy Consumption Survey (RECS) to create high-resolution conditional probability tables for home characteristics like square footage, insulation, window-type, HVAC type, and HVAC efficiency. ResStock then uses sampling to generate a statistically representative set of models for the desired region. ResStock leverages OpenStudio to create the models and run them.