The objectives of this research are: (1) Develop a unified and accurate deep learning based regression model for predicting energy usage of different building types. (2) Develop a zero shot learning approach (using an ontology of building types) to accurately predict energy usage of building types whose data are not available during training. (3) Evaluate the deep learning model against traditional machine learning models. If successful, the proposed research can accurately model the energy usage of a variety of building types for architects and engineers (at design time).
The objective of this project is to develop QIK, a fast graph-based query processing system for searching images via metadata using the concept of knowledge graphs. QIK will also recommend interesting questions to users to enable easier search.