P02 - A Massively Parallel Approach to Forecasting Electricity Prices
DescriptionWith the ongoing energy crisis in Europe, accurate forecasting of electricity price levels and volatility is essential to planning grid operations and protecting consumers from extreme prices. We present how massively parallel stochastic optimal power flow models can be deployed on modern many-core architectures to efficiently forecast power grid configurations in real time. Processing of stochastic weather and economic scenarios is optimized on many-core CPUs to achieve maximal throughput and minimize latency from the receipt of weather data to the output and interpretation of model results.
TimeMonday, June 2611:20 - 11:50 CEST