Digitalization of Power Markets and Systems Using Energy Informatics (PDF)

research interests include smart grid, smart home, smart building, demand response, renewable energy integration, electric vehicles, Internet of Things (IoT), machine learning (with particular applications on energy savings), building-level load forecasting, and blockchain for peer-to-peer trading of solar electricity. Dr. Pipattanasomporn is also a guest lecturer at the International School of Engineering (ISE) and the Information and Communication Engineering (ICE).
James Kempf, PhD, graduated from University of Arizona with a Ph.D. in Systems Engineering before going to work in Silicon Valley. Since then, Dr. Kempf has worked for a variety of tech companies, including Sun Microsystems, NTT Docomo, Ericsson, and most recently Equinix. Dr. Kempf started part time consulting with renewable energy startups on cloud computing and networking technology in 2016, and was an advisor to PV Complete, Extensible Energy and other greentech startups at the Powerhouse Solar Incubator in Oakland from 2016-2019. He has served on the Powerhouse Fund technical due diligence team and the Powerhouse Connector team, connecting with startups looking for help with cloud and networking issues for the DOE America's Solar Prize. Dr. Kempf has been a member of E8 cleantech angel investors since 2016, has served on the due diligence committee for one, and, in the summer of 2018, helped organize a workshop between Powerhouse and E8.

Linquan Bai, PhD, is an Assistant Professor at the University of North Carolina at Charlotte (UNCC). He received his BS and MS degrees in electrical engineering from Tianjin University, and his PhD in electrical engineering from The University of Tennessee, Knoxville. Prior to working at UNCC, Dr. BaiI worked as a Research Aide at Argonne National Laboratory and as a Consulting Engineer on electricity markets and GridView software at ABB Power Grids, ABB Inc. His research interests are in the areas of DER optimization and control, power system operation under uncertainties, multi-energy system integration, and electricity markets. He is an IEEE Senior Member and serves as an editor of Journal of Modern Power and Clean Energy, Secretary of the IEEE Working Group on Data-driven DER Operation and Economics, Secretary of IEEE Task Force on Advanced Methods for Computational Intensive Power System Planning Applications, and was Session Chair of 2019 IEEE PES General Meeting and 2019 North American Power Symposium. Dr. Bai is the recipient of the 2020 John H. Maxheim Faculty Fellowship at UNC Charlotte.