Showcasing AI4OPT's Work
Alireza Moradi, a Ph.D. student at Georgia Institute of Technology and a research assistant with NSF AI4OPT, presented a poster on cutting-edge power systems research at the Spring 2025 Industry Advisory Board (IAB) meeting of the Power Systems Engineering Research Center (PSERC), held at Washington State University. Moradi represented Project T-71G, “TS4PS: Time Series for Power Systems,” a collaborative effort funded by France’s transmission system operator, RTE.
Closing Benchmark Gaps with Realistic Grid Data
TS4PS addresses a longstanding challenge in power systems research: the lack of realistic, time-dependent datasets that capture the complexity of modern electrical grids. Current benchmarks, such as PGLIB, fall short in representing the dynamic and topological realities introduced by the rise of renewable energy, storage, and distributed resources. TS4PS builds a novel library of injection time series based on real SCADA snapshots with anonymized injections, reconstructed through a data-driven methodology.
Advanced Modeling for Future Grid Planning
The project employs the Data-Driven Time Series Reconstruction Methodology (DDTSRM) to transform zonal injection data into detailed, bus-level profiles using statistical correlations. Future extensions will incorporate static covariates like weather data to improve sub-zonal accuracy. These advancements are essential to equip researchers and engineers with the tools needed for next-generation grid planning and operation.
PSERC and RTE: Supporting Innovation in Power Systems
Supported by RTE, one of Europe’s largest transmission operators, TS4PS represents a vital step toward making complex grid realities accessible for academic and industrial innovation.
Alireza Moradi at the Spring 2025 Industry Advisory Board
