Smart Grid
From PgroupW
The Smart Grid group is conducting research into informatics-driven scalable software architectures to address realtime power management in the domain of Smart Power Grids. This work is funded by the US Department of Energy as part of the five-year Los Angeles Smart Grid Demonstration project, to forecast and curtail power consumption by thousands of electricity consumers on-demand through large scale information processing and consumer pattern detection. We apply existing information technology techniques to and investigate novel algorithms and frameworks for this emerging application area of critical importance to global sustainability,
This cyberphysical domain provides unique challenges to many existing computer science algorithms, approaches and frameworks due to the data complexity, dynamism, scale and need for realtime response. Some of the research topics that we are exploring as part of this project are semantic information integration, complex event and stream processing, data analytics and machine learning, data security and privacy, and cloud computing platforms.
Recent Activities
- Posters at the Third Southern California Smart Grid Research Symposium, Caltech (13-Oct-2011)
- Several recent papers get accepted on data mining (DDDM), cloud security (DataCloud) and smart grids (BuildSys) (Sep-2011)
- Presentation on Smart Grids at USC Frontiers of Energy High School Camp (27-Jun-2011)
Research
Recent Publications
- Cryptonite: A Secure and Performant Data Repository on Public Clouds, Alok Kumbhare, Yogesh Simmhan and Viktor Prasanna , International Cloud Computing Conference (CLOUD) , 2012
- Adaptive Energy Forecasting and Information Diffusion for Smart Power Grids, Yogesh Simmhan, Vaibhav Agarwal, Saima Aman, Alok Kumbhare, Sreedhar Natarajan, Nikhil Rajguru, Ian Robinson, Samuel Stevens, Wei Yin, Qunzhi Zhou and Viktor Prasanna , IEEE International Scalable Computing Challenge (SCALE) , 2012 (First Prize)
- Scalable Regression Tree Learning on Hadoop using OpenPlanet, Wei Yin, Yogesh Simmhan and Viktor Prasanna , International Workshop on MapReduce and its Applications (MAPREDUCE) , 2012
- Semantic Information Modeling for Emerging Applications in Smart Grid, Qunzhi Zhou, Sreedhar Natarajan, Yogesh Simmhany and Viktor Prasanna , International Conference on Information Technology : New Generations (ITNG) , 2012
- SCEPter: Semantic Complex Event Processing over End-to-End Data Flows, Qunzhi Zhou, Yogesh Simmhan and Viktor Prasanna , 2012 , Computer Science Department, University of Southern California.
Technical Documents and Software
Presentations
- Semantic Information Integration and Processing for Demand Response, poster at Third Southern California Smart Grid Research Symposium, Caltech (13-Oct-2011)
- Machine Learning for Demand Forecasting in Smart Grid, poster at Third Southern California Smart Grid Research Symposium, Caltech (13-Oct-2011)
- Detailed overview of research, presented at 2011 Fall Technical Forum (Sep-2011)
Schedules
- Group Meetings: 2013 | Spring ≡ 2012 | Fall | Summer | Spring ≡ 2011 | Fall | Summer
- Individual Meetings: 2013 | Spring ≡ 2012 | Fall | Summer | Spring ≡ 2011 | Fall | Summer
- Member Availability: 2012 | Fall | Spring ≡ 2011 | Winter | Fall | Summer
Group Members
- Yogesh Simmhan, Research Asst Professor & Project Manager
- Saima Aman, Ph.D. Student, Computer Science
- Qunzhi Zhou, Ph.D. Candidate, Computer Science
Research Interns
- Rongyang Liu, M.S. Student, Electrical Engineering
- Samuel Stevens, M.S. Student, Computer Science
- Zachary Gima, B.S. Student, Mechanical Engineering
- Ashutosh Shanker, M.S. Student, Computer Engineering
- Muhammad Usman Noor, M.S. Student, Electrical Engineering
- Kenneth Barry, B.S. Student
Alumni
- Ian Robinson, M.S. Student, Green Technologies
- Vaibhav Agarwal, M.S. Student, Computer Science
- Srivathsan Rajagopalan, M.S. Student, Computer Science
- Ashwath Rajan, B.S. Student, Biomedical Engineering
- Nikhil Rajguru, M.S. Student, Computer Science
