• CERAWEEK 2025 | March 10-14, 2025
  • CERAWEEK
  • March 10 - 14, 2025

Brian Savoy

Duke Energy

Senior Vice President, Chief Transformation and Administrative Officer

Brian Savoy is Senior Vice President, Business Transformation and Technology for Duke Energy. He is responsible for information technology, enterprise security, and leading business change to advance the company’s strategic objectives. Prior to this role, he served as Chief Accounting Officer and Controller for Duke Energy. Mr. Savoy joined Duke Energy in 2001 as a Manager in Duke Energy’s energy trading unit, Duke Energy North America. He was named Director of Trading and Risk Services later that same year. He led derivative accounting and trading control functions for energy trading and marketing activities and was instrumental in the successful wind-down and disposition of Duke Energy North America in 2005. Following Duke Energy’s merger with Cinergy in 2006, he was appointed as Vice President and Controller of the commercial power segment and was responsible for accounting, financial reporting, and internal controls functions. In 2009, Mr. Savoy was named Director of Forecasting and Analysis, where he played a significant role in addressing challenging business and strategic issues, including leading financial due diligence for the Duke Energy/Progress Energy merger completed in 2012. He assumed his current position in May 2016. Prior to joining Duke Energy, he was a Manager with Deloitte & Touche. Mr. Savoy earned a Bachelor of Business Administration in accounting from Lamar University, and completed the Advanced Management Program at the Fuqua School of Business at Duke University. He is a certified public accountant in both Texas and Ohio.

Sessions With Brian Savoy

Thursday, 12 March

  • 11:30am - 12:20pm (CST) / -

    Using Big Data to Create Demand-side Solutions
    Clean Tech

    As the industry has increased the collection and usage of data from Smart Meters and other network sensors, the exponential growth in this data has created an opportunity for those who employ the best tools to analyze it. In development for over a decade, the introduction of AI and machine learning to these vast data sources is resulting in better energy efficiency programs and demand-side management (DSM) programs. Which analytical DSM systems should be deployed and from which industries will we see the most results? How do these systems combine non-energy data, such as weather and climate, and more global economic data along with energy usage data to help energy managers succeed? How do these systems evolve beyond it’s blunt use today to sophisticated optimization tools that leverage the breadth of the asset characteristics?