Summary
Jee Park is a power system engineer with 10 years of experience blending data-driven research and market analysis to solve grid and market challenges. Trained in power electronics and systems at UT Austin, he has practical expertise in steady-state, dynamic and PSCAD modeling for renewable and conventional generators, and has supported transmission and distribution planning at DNV. His background in AI and time-series forecasting—developed through research roles using ELM/H-ELM and Seq2Seq NLG—gives him a strong quantitative edge in LMP, congestion and market product analysis across ERCOT, SPP, and MISO. He has moved from academic research into applied power market consulting, building tools for model calibration, backcasting and automated data scraping with Python and SQL. Ambitious and strategic, Jee aims to leverage 15–20 years of experience to create new business opportunities—such as power modeling consulting—when electricity markets evolve in South Korea.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Electrical and Computer Engineering - Power Electronics and Power Systems, Master's degree, Electrical and Computer Engineering - Power Electronics and Power Systems at The University of Texas at Austin
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Sungkyunkwan University
English, Korean