Rapid retrofitting of America’s existing building stock is of urgent national interest to improve energy efficiency and resilience. But how can cities plan for this significant transition with limited funding, data, resources, and time? This session introduces a practical and scalable Urban Building stock digital twin for energy modeling developed by the Environmental Systems Lab […]

In this session, TwinKnowledge will discuss a new type of digital twin that has emerged with AI, cognitive digital twins (CDTs), and their implications for the AECO industry. Cognitive digital twins enable O&M workflows that are supported end-to-end by AI. They are built on top of existing digital twins; they use AI to make sense […]