# The Creation and Validation of Load Time Series for Synthetic Electric Power Systems

arXiv: https://arxiv.org/abs/1911.06934 · HTML: https://mlsanity.com/paper/1911.06934/

## Key facts

- Cited by 8 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Nov 2019.

## Built on by (most cited first, 8 of 8)

- [Data-Driven Time Series Reconstruction for Modern Power Systems Research](https://mlsanity.com/paper/2110.13772/) (2021)
- [Detection and Imputation based Two-Stage Denoising Diffusion Power System Measurement Recovery under Cyber-Physical Uncertainties](https://mlsanity.com/paper/2312.04346/) (2023)
- [SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems](https://mlsanity.com/paper/2409.12328/) (2024)
- [Time Series Synthesis via Multi-scale Patch-based Generation of Wavelet Scalogram](https://mlsanity.com/paper/2211.02620/) (2022)
- [pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events -- Part I: Overview and Results](https://mlsanity.com/paper/2204.01095/) (2022)
- [pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events](https://mlsanity.com/paper/2210.14204/) (2022)
- [Time-Synchronized Full System State Estimation Considering Practical Implementation Challenges](https://mlsanity.com/paper/2212.01729/) (2022)
- [Synthetic Electric Vehicle Charging Session Generation Using a Conditional Variational Autoencoder](https://mlsanity.com/paper/2609.17808/) (2026)

## 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.