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Asset Management & Operational Strategy

The Power of Risk Management in Minimizing Grid Strain and Increasing Renewable Energy Development

Presentation Description: As energy markets become more volatile due to increasing intermittency, energy demand and severe weather events, grid operators and asset owners must adapt faster than ever before in order to mitigate strain on the grid, meet carbon reduction goals and remain profitable. Market and risk management expertise paired with artificial intelligence and machine learning holds the key to solving the problem of renewable intermittency and improving return on investment for renewable asset owners. For this presentation, Aaron Bartee, Originator at Trailstone Group, will discuss how a combination of artificial intelligence, machine learning, and market expertise can be used to mitigate grid strain and manage wholesale power market risks for utility-scale renewable energy asset owners in the U.S. and worldwide.

Learning Objectives:

  • Upon completion, participants will be able to understand the critical role of energy market risk management to enhance operating performance and renewable energy penetration.
  • Upon completion, participants will be able to understand how advanced technologies, such as artificial intelligence and machine learning, can optimize renewable energy assets to mitigate grid strain and help achieve global decarbonization goals.
  • Upon completion, participants will be able to think critically of how current events are affecting the energy market landscape — leading to increased price volatility.