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Meet the Speakers: Cristina Marinovici & Olga Kuchar

Session: Your Data, My Data, Someone’s Data: Data Challenges for Innovation

SPEAKER

Cristina Marinovici Final

Cristina Marinovici, Software Engineer, Pacific Northwest National Laboratory

Cristina Marinovici joined Pacific Northwest National Laboratory (PNNL) as a software engineer in August 2010. At PNNL, as part of the Electricity Infrastructure group, Dr. Marinovici is responsible for directing and supporting the research and development of techniques and tools that assist in ensuring the reliability and security of the electric grid in North America. Her research interests include power system operations, smart grid and renewable energy integration, as well as data analysis, scientific computing and parallel processing.

Dr. Marinovici has an M.Sc. and Ph.D. in Mathematics from Louisiana State University, and an M.Sc. in Automated Controls and B.S. in Computer Science from “Gh. Asachi” Technical University of Iasi in Romania. She is a member of the IEEE, IEEE Women in Engineering (IEEE WIE), Society of Women Engineers (SWE), and the Society of Industrial and Applied Mathematics (SIAM).

CO-SPEAKER

Olga Kuchar joined Pacific Northwest National Laboratory (PNNL) in October 2000 and is a senior research scientist in the National Security Directorate. Her work involves designing and implementing solutions for all data life cycle stages, from determining data requirements to data collection and analysis to cognitive visualizations for decision making, in multiple domains involving large-scale data warehousing for real-time and historical data collection that have national impact such as homeland security and energy grid. Her current project portfolio includes grid data architecture, semantic tagging of grid data, power system testbed design, and optimal power flow data repository.

Dr. Kuchar received her Ph.D. in computer science from Dalhousie University, a M. C. Sc. from the Technical University of Nova Scotia, a B. Ed. from the University of Western Ontario, and a B. Math. Honours in Computer Science from the University of Waterloo, Canada. She is currently a member of the Data Warehousing Institute (TDWI).

VIDEO

SESSION

Your Data, My Data, Someone’s Data: Data Challenges for Innovation
Track: Accuracy
Cristina Marinovici, Software Engineer, Pacific Northwest Laboratory
Olga Kuchar, Data Architect, Pacific Northwest Laboratory

Strengthening the connections between the electric power grid operation and information and communication technology infrastructure offers many opportunities for energy innovation. In this context, the Pacific Northwest Smart Grid Demonstration Project designed, implemented, operated, and collected data from a transactive system using a wide range of smart grid assets at eleven utilities across five states. This large-scale demonstration of transactive control refined the operational characteristics of the system and proved its feasibility.

This presentation discusses the challenges encountered while engineering the Project’s data collection system. The collection of data to validate the transactive system functions was challenging due to the wide variety of sources and the heterogeneity of the data types, but the data collection system was flexible enough to tolerate a range of failures and minimize any data loss. Leveraging the lessons learned during the demonstration creates a reference document for any large, heterogeneous data collection process.