New technologies and the wide-spread application of small-scale component sensors and data collection equipment have greatly increased the amount of available data, but the challenge is how to manage, use and act on huge amount of system data. Universities have played a major role in the development of foundation theories that have led the industry to new devices and systems in the past. This research focus area offers the opportunities to study the increasing amount of available data and identify new phenomena that can lead to the development of new devices and operating practices. This theme of research will focus on innovative data management, visualization, data mining, forecasting, decision-support and optimization approaches. In addition, performance metrics and other advanced analytics will be developed.

Possible research ideas include:

  • Exploring the value of emerging data sources, such as Phasor Measurement Unit, satellite data, weather stations, and social media.
  • Data security, reliability and adequacy criteria
  • Real-time security assessment, preventive and corrective control
  • Risk-based and cost-based analysis, design and planning
  • Cyber-security, wide-area monitoring, control and real-time measurements (such as smart meters and PMUs)
  • Interpretation of empirical data
  • Estimation and validation of theoretical models using econometric methods, financial engineering approaches, statistical analysis and artificial intelligence
  • Phasor, time, and frequency paradigms
  • Use of satellite technologies for innovative power system applications
  • Empirical analysis focusing on
    • Interpretation of empirical data a
    • Estimation and validation of theoretical models using econometric methods, financial engineering approaches, statistical analysis and data mining
  • Ad education program on analytics for power engineers
  • A research study on very short-term voltage forecasting based on PMU data
  • PMU data analytics
  • Using PMU data to detect cyber attacks
  • Develop a data base that holds all data needed from two software platforms and a translator to convert he database into the format to run in a specific software