Funding entity Massachusetts Institute of Technology (MIT)
This five-session hands-on course focuses on mathematical modeling to accelerate the energy transition toward net-zero emissions targets, with an emphasis on electricity systems and their pivotal role in the decarbonization of the economy. The course explores how to develop and use optimization models to efficiently manage renewable energy, facilitate electric vehicle integration, leverage synergies between electricity and hydrogen, and advance energy access in non-electrified regions. It provides practical tools and case studies to analyze and optimize complex decision-making, showcasing real-world applications. No prior experience is required, although basic knowledge of Python and Julia is helpful.
Layman's summary: This intensive course summarizes the IIT's experience in developing decision-support models for the electric power industry in a decarbonization context.
2025_MIT-Course_IAP
