Zoom link: https://uio.zoom.us/j/9712490000
Speaker: Shiliang Zhang from IFI, UiO.
Abstract: This presentation tries to introduce and clarify privacy issues in the smart grid context. The speaker will explain privacy-related concepts and definitions applicable to smart grid and analyze legislative and regulatory aspects regarding privacy in distributed energy management. This presentation is anticipated to draw more understanding of the privacy issue and how it can be formalized in smart grid and distributed energy management, which is the basis for developing privacy-preserving strategies, frameworks, and applications for transactive energy management systems.
Reference: Pillitteri, Victoria Y., and Tanya L. Brewer. "Guidelines for smart grid cybersecurity." (2014).
About the speaker: Shiliang Zhang is a postdoc in IFI, UiO, started Sep. 2022, with his current research focusing on privacy preservation, machine learning, and their applications in transactive energy management systems. He worked as a postdoc researcher from 2020-06 to 2022-06 at Chalmers University of Technology in Gothenburg, Sweden, in the field of privacy-preserving machine learning approaches in vehicle networks.