The Creation and Validation of Load Time Series for Synthetic Electric Power Systems
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Abstract (arXiv)
Synthetic power systems that imitate functional and statistical characteristics of the actual grid have been developed to promote researchers' access to public system models. Developing time series to represent different operating conditions of these synthetic systems will expand the potential of synthetic power systems applications. This paper proposes a methodology to create synthetic time series of bus-level load using publicly available data. Comprehensive validation metrics are provided to assure that the quality of synthetic time series data is sufficiently realistic. This paper also includes an example application in which the methodology is used to construct load scenarios for a 10,000-bus synthetic case.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Nov 2019.
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Citing papers per year: 2021: 1; 2022: 4; 2023: 1; 2024: 1; 2025: 0; 2026: 1.
8 papers.
- 2021Data-Driven Time Series Reconstruction for Modern Power Systems Researchcited by 7
- 2023Detection and Imputation based Two-Stage Denoising Diffusion Power System Measurement Recovery under Cyber-Physical Uncertaintiescited by 5
- 2024SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problemscited by 2
- 2022Time Series Synthesis via Multi-scale Patch-based Generation of Wavelet Scalogramcited by 1
- 2022pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events -- Part I: Overview and Resultscited by 0
- 2022pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Eventscited by 0
- 2022Time-Synchronized Full System State Estimation Considering Practical Implementation Challengescited by 0
- 2026Synthetic Electric Vehicle Charging Session Generation Using a Conditional Variational Autoencodercited by 0
- 2026Synthetic Electric Vehicle Charging Session Generation Using a Conditional Variational Autoencoder15 Sep 2026
- 2024SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems18 Sep 2024
- 2023Detection and Imputation based Two-Stage Denoising Diffusion Power System Measurement Recovery under Cyber-Physical Uncertainties7 Dec 2023
- 2022Time-Synchronized Full System State Estimation Considering Practical Implementation Challenges4 Dec 2022
- 2022pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events25 Oct 2022
- 2022Time Series Synthesis via Multi-scale Patch-based Generation of Wavelet Scalogram21 Oct 2022
- 2022pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events -- Part I: Overview and Results3 Apr 2022
- 2021Data-Driven Time Series Reconstruction for Modern Power Systems Research26 Oct 2021