CRA led an innovative generation flexibility study for a major utility in MISO South. CRA developed a stochastic model for real time wind, solar, and load variability to assess generation flexibility need and then performed sub-hourly production cost modeling to assess adequacy of flexible generation to meet energy imbalances resulting from day ahead – real time net load forecast error.
How energy investment is evolving to meet AI-driven data center demand
In a recent interview, CRA’s energy consultant Mayank Saraswat explored how the energy sector is evolving to meet the surging demands of AI-driven data centers.