2:30 - 3:15 PM EST

Public-facing hosting capacity (HC) maps show the maximum amount of distributed energy resources (e.g., rooftop solar) that can be installed at various locations on the grid without adverse effects. These maps benefit a variety of stakeholders and decision-makers by enhancing transparency, providing direct access to siting information, and streamlining interconnection processes, but conventional model-based methods for the underlying analyses are too slow and prone to errors. Recently, a variety of alternative data-driven algorithms have been developed that address these shortcomings. This session will present an overview and demo of the new Model-free Hosting Capacity Analysis (MoHCA) tool, which is a free and open-source application for generating HC maps from residential smart meter data.