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.
Seeing what sellers miss—a constructive approach to utility M&A in an age of increasing uncertainty
CRA’s Jim McMahon highlights how consolidation in the utility sector is accelerating due to increased uncertainty and the influx of private capital, but the...