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.
Data center growth: implications for the power and utilities sector
This unprecedented demand for power requires new approaches from utilities and system planners around load forecasting, resource planning, load queue design,...