College - Author 1
College of Engineering
Department - Author 1
Electrical Engineering Department
College - Author 2
College of Engineering
Department - Author 2
Electrical Engineering Department
Advisor
Dr. Jason Poon, CENG, Electrical Engineering Department
Funding Source
Noyce School of Applied Computing
Date
10-2024
Abstract/Summary
To help curb climate change, the United States is rapidly electrifying many sectors of the energy economy, such as transportation (electric vehicles) and home heating (electric heat pumps). Thus, recent years have witnessed an explosion of businesses that want to connect and operate energy resources on the electric grid. However, getting an energy resource connected to the grid is an arduous process that takes years or more, requires specialized technical knowledge, and requires navigating complex and varying regulatory procedures. This project will develop a software platform that leverages AI and high-performance computing to automate and accelerate grid interconnection and energy asset operation. The platform will help energy project developers reduce their interconnection costs by automating aspects of the grid interconnection and asset management processes, including technical feasibility studies, portfolio optimization, and energy arbitrage.
October 1, 2024.
Included in
URL: https://digitalcommons.calpoly.edu/ceng_surp/30