Today’s energy modeling is a tedious process: chasing down myriad inputs, followed by weeks of modeling and analysis – only to arrive at an answer that is out-of-date because the design or procurement has moved on.
We’re revolutionizing this process, using AI/ML to deliver instantaneous results. This research, led by Associate Principal Vamshi Gooje, involves training a model on thousands of projects, spanning 20 years, including open-source databases. This speed allows for immediate feedback, real-time collaboration and swift decision-making. While conventional modeling remains essential for addressing nuanced questions and compliance verification, our focus is on enhancing AI/ML model accuracy and forecasting operational carbon. It’s a transformative approach, streamlining a once-lengthy process into a rapid, data-driven solution for the future.