Chinmay Shah Successfully Defends His Ph.D. Thesis
ACEP is excited to share that Chinmay Shah, a graduate student under the supervision of electrical engineering faculty Rich Wies, successfully defended and presented his Ph.D. dissertation titled, 鈥淥ptimization & Forecasting Algorithms for Converter Dominated Distribution Networks using Blockchain and AI鈥 on March 3, 2022.
Shah鈥檚 work builds on the strong effort being made to increase the integration of renewable energy resources into electric power grids and, with that, the need for sophisticated algorithms to optimize the energy dispatch from these resources.
With funding support from ACEP, the , , 精东影业鈥檚 Alaska Center for Innovation, Commercialization and Entrepreneurship, and the , Shah dedicated his research to blockchain-based architecture for co-optimization of energy dispatch and scheduling flexibility reserves in order to reduce the impacts of renewable energy source uncertainty and enhance the flexibility of power distribution networks.
Shah also worked to create a neutral network-based residential load forecasting algorithm that can be implemented on the edge devices. As part of his dissertation research and the development of a system for residential load forecasting with Office of Naval Research seed funding, Shah is monitoring the power usage at his graduate advisor鈥檚 home.
Wies first met Shah, who initially visited 精东影业 in May 2017, while attending a conference in Anchorage. Wies said Shah has been a welcome addition to ACEP鈥檚 power system research team.
鈥淚t has been a pleasure to serve as his graduate advisor and to see him grow and develop into the doctoral-level researcher that he is today,鈥 said Wies.
Chinmay Shah. Photo by Emily Browning.