Kaveh Dehghanpour
About Kaveh Dehghanpour
Kaveh Dehghanpour is a Senior Transmission System Congestion Analyst at American Electric Power, with a strong background in energy markets and renewable energy engineering. He has contributed to data-driven initiatives for sustainable smart grids and holds a Ph.D. in Electrical Engineering from Montana State University-Bozeman.
Work at American Electric Power
Kaveh Dehghanpour has been employed at American Electric Power since 2021, serving as a Senior Transmission System Congestion Analyst. In this role, he focuses on analyzing and managing transmission system congestion, contributing to the efficiency and reliability of power delivery. His work involves applying advanced analytical techniques to optimize transmission operations and support the integration of renewable energy sources.
Education and Expertise
Kaveh Dehghanpour holds a Doctor of Philosophy (Ph.D.) in Electrical Engineering from Montana State University-Bozeman, where he studied from 2014 to 2017. He also earned a Master’s Degree in Power Systems and High Voltage Engineering from the University of Tehran, completing his studies there from 2011 to 2013. Additionally, he obtained a Bachelor’s Degree in Electrical Engineering from the same university, studying from 2006 to 2011. His educational background provides a solid foundation in energy markets, renewable energy engineering, optimization, and mathematical modeling.
Background
Before joining American Electric Power, Kaveh Dehghanpour worked as a Postdoctoral Research Associate at Iowa State University from 2018 to 2020. During this time, he contributed to data-driven power engineering initiatives aimed at enhancing sustainable smart grids. He also held a position as a Research Scientist at BEM Controls for six months in 2020, where he focused on research related to energy systems in the Washington DC-Baltimore area.
Achievements in Data Science and Energy Engineering
Kaveh Dehghanpour has contributed to applied data science initiatives that enhance sustainable smart grids. His expertise in optimization and mathematical modeling has been instrumental in addressing challenges within the energy sector. His work has implications for improving the efficiency of energy systems and integrating renewable energy sources into existing infrastructure.