manifest.yml

name: Vespa
version: 0.0.2
authors:
- Patrick Kastner, Anubha Mahajan, Joseph Aerathu, Jiayi Li, Jessica Hernandez
description: >
  Vespa is designed to support architects in making energy-informed design decisions early in the building process. The plugin enables users to create or modify building models and receive predictions for heating and cooling loads using a machine learning (ML) model. Architects can gauge building energy performance early (concept stage) using the Rhino Energy Prediction Plugin. The plugin embeds a self-contained ONNX runtime directly in Grasshopper.
url: https://github.com/SustainableUrbanSystemsLab/Vespa
icon:
keywords:
- buildings
- energy
- machine-learning