Finding the Right Grid Model for Your Research in the GRID DATA Repository Using Big Data Semantic Search

The presentation will describe the Big Data technologies evaluated, selected, and deployed (e.g., a hybrid SQL NOSQL graph database, JSON converters, semantic preprocessing), and will include a live demo of the natural language search capability that researchers can use to find models of interest, by posing natural language queries such as a Search for models with greater than 5,000 buses with over 10,000 miles of total line length of 69kV and above, and a Search for GridLab models that have over 10 PV loads on a single 4KV circuit