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Moody is passionate about exploring and supporting innovative technologies with a meaningful impact on climate change mitigation. At Prime, he manages the Demand Flexibility Program, showcasing and accelerating the potential of demand flexibility to decarbonize the electric grid. This involves demonstrating its value and commercial feasibility through implemented projects in collaboration with national labs, universities, utilities, industry partners, and regulators.
Moody holds an ME in Systems Engineering and a Ph.D. in Electric Smart grids from The City College of New York. He’s been recognized with multiple awards, including the James O. Gray Scholarship for systems engineering and automation.
During his graduate studies, he collaborated with ConEdison and the Metropolitan Transit Authority on evaluating the techno-economic feasibility of wayside energy storage on the NYC transit system. He also led a team to design and build the first CCNY microgrid, securing first place in the annual CCNY graduate research.
Following his Ph.D., Moody served as an assistant professor at Florida Polytechnic University, then he joined a startup in the industry field to work on the development of a data-driven microgrid controller and created a machine learning forecasting engine for electric demand and renewable energy resources. His expertise lies in machine learning, and energy management systems for microgrids and microgrid clusters, aiming for higher system resilience, reduced emissions, and economically optimized operation.
Moody enjoys reading psychology books, engaging in deep conversations, swimming, attending Broadway shows, and traveling.