Innovating Energy with Academia
Greenwich Commodities is dedicated to fostering partnerships with universities and research institutions, enabling joint research projects that push the boundaries of energy innovation. By collaborating with academic minds, we aim to blend research capabilities with industry resources to accelerate sustainable energy solutions.
Our mission is clear: support pioneering research, enrich educational experiences, and prepare future energy professionals. Together with partners like the NSF eCAT Center and leading universities, we’re advancing the understanding of power markets, energy flow, and emerging technologies essential for a resilient energy future.
Our Key Collaborations
Greenwich Commodities Hosts Power Market Workshop at MIT, Cambridge, MA
Greenwich Commodities and GBE Fund, Inc. held a two-day workshop on power market fundamentals at the Lab for Information and Decision Science (LIDS) of Massachusetts Institute of Technology (MIT) from May 22–23, 2025. The event featured lectures by Professor Marija Ilić, a leading expert in power systems and member of the U.S. National Academy of Engineering.
Twenty employees from the Detroit, Denver, Calgary, and Vancouver offices participated in the workshop, which covered key topics such as electricity market structures, locational marginal pricing (LMP), economic dispatch, contingency analysis, and renewable integration. A live Q&A of the Dayzer power market software by Assef Zobian (CES Inc.) complemented the technical sessions.
The workshop reflects Greenwich Commodities’ ongoing commitment to investing in talent development and staying at the forefront of market innovation.
Partnership with NSF IUCRC Center (2024 to the present)
The Center of Electric, Connected and Autonomous Technologies for Mobility supported by the National Science Foundation Industry–University Cooperative Research Centers (IUCRC) program
University of Denver (2020-2024)
Sponsor joint research on power market dynamics.
University of Michigan (2021-2022)
Sponsor joint research on "Machine Learning-Based Method for Predicting Power Flows in Energy Markets".
Wayne State University (2019-2021)
Sponsor joint research on "Data-driven Analysis and Modeling of Collective Generation Behaviors in Electricity Market".