The UMBC CSEE Seminar Series Presents

Addressing Energy and Big Data
Challenges in Microgrids

Prof. Ting Zhu, UMBC

1-2pm Friday, Dec 4, 2015, ITE 325B

Buildings account for over 75% of the electricity consumption in the United States. To reduce electricity usage and peak demand, many utility companies are introducing market-based time-of-use (TOU) pricing models. In parallel, government programs that increase the fraction of renewable energy are incentivizing residential consumers to adopt on-site renewables and energy storage. Connecting on-site renewables and energy storage between homes forms a sustainable microgrid that is capable of generating, storing, and sharing electricity to balance local generation and consumption in residential areas. In this talk, I will present two pieces of our work in this area. The first work targets at minimizing the electricity cost from a utility company for a microgrid under different market-based TOU pricing models. This work is selected as the best paper runners up at BuildSys 2014. The goals of the second work are real-time energy data gathering, compression, and recovery based on unique features in the energy consumption patterns. In the end of the talk, I will also briefly introduce some of my latest work in indoor localization, networking, and smart health.

Ting Zhu is an assistant professor in the CSEE at UMBC. He received the Computing Innovation Fellowship in 2010. His papers have been selected in the best paper award finalist in multiple conferences (i.e., SenSys ’10, e-Energy ’13, and BuildSys ’14). He has a broad research interest in areas such as internet of things, energy, networking, systems, big data, and security. He is looking for undergraduate, Master and PhD students to work in the above areas.

Hosts: Professors Fow-Sen Choa (Sorry, you need javascript to view this email address. ) and Alan T. Sherman (Sorry, you need javascript to view this email address. )

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