Data Management, Exploration and Visualization for Smart Energy Grid

Abstract:: Queensland faces the challenge of mitigating growth in greenhouse gas emissions while ensuring access to competitively priced energy. This has led to many initiatives by the Queensland Government to expand the renewable energy sector. This project will focus on addressing many challenges faced by the renewable energy sector by developing effective smart grid data management solutions. In order to unlock the full value of the tremendous amount of data generated by smart grids, utility industry needs now to develop new Data management and Data Analytics capabilities to integrate real-time sensor data, historical data, spatiotemporally co-related data and data from external sources such as Bureau of Meteorology. To that end, this project will focus on developing an end-to-end solution for smart grid data collection and processing, covering key functions of data quality management, data storage and compression, data exploration and visualization. This project will establish the foundation for smart grid data management, which will provide the platform on which novel big data analytics applications can be easily developed. Particularly, it will provide client-end APIs as well as server-end support based on modern computing platforms such as in-memory database systems and cloud computing.
Grant type:: Advance Queensland Research Fellowships
Funded by:: Queensland Government Department of Science, Information Technology and Innovation

The University of Queensland