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DTSTAMP:20230831T095745Z
LOCATION:Davos
DTSTART;TZID=Europe/Stockholm:20230626T112000
DTEND;TZID=Europe/Stockholm:20230626T115000
UID:submissions.pasc-conference.org_PASC23_sess104_pos103@linklings.com
SUMMARY:P02 - A Massively Parallel Approach to Forecasting Electricity Pri
 ces
DESCRIPTION:Poster\n\nTimothy Holt (Università della Svizzera italiana, Oa
 k Ridge National Laboratory)\n\nWith the ongoing energy crisis in Europe, 
 accurate forecasting of electricity price levels and volatility is essenti
 al to planning grid operations and protecting consumers from extreme price
 s. 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 a
 nd economic scenarios is optimized on many-core CPUs to achieve maximal th
 roughput and minimize latency from the receipt of weather data to the outp
 ut and interpretation of model results.\n\nSession Chair: Elaine M. Raybou
 rn (Sandia National Laboratories)
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