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.
EFLOPS >> MWs: The economics behind data center growth
But what are the actual economic drivers behind data center expansion, and what do we know about the size of the market for data center capacity? Software now...