A Time-Series Distribution Test System Based on Real Utility Data
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Abstract (arXiv)
In this paper, we provide a time-series distribution test system. This test system is a fully observable distribution grid in Midwest U.S. with smart meters (SM) installed at all end users. Our goal is to share a real U.S. distribution grid model without modification. This grid model is comprehensive and representative since it consists of both overhead lines and underground cables, and it has standard distribution grid components such as capacitor banks, line switches, substation transformers with load tap changer and secondary distribution transformers. An important uniqueness of this grid model is it has one-year smart meter measurements at all nodes, thus bridging the gap between existing test feeders and quasi-static time-series based distribution system analysis.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Jun 2019.
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Citing papers per year: 2021: 4; 2022: 0; 2023: 1; 2024: 1; 2025: 2; 2026: 1.
9 papers.
- 2021Review of Low Voltage Load Forecasting: Methods, Applications, and Recommendationscited by 17
- 2021State and Topology Estimation for Unobservable Distribution Systems using Deep Neural Networkscited by 5
- 2025PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesiscited by 5
- 2021End-to-End Demand Response Model Identification and Baseline Estimation with Deep Learningcited by 3
- 2021Synthetic Active Distribution System Generation via Unbalanced Graph Generative Adversarial Networkcited by 2
- 2023A Robust Data-driven Process Modeling Applied to Time-series Stochastic Power Flowcited by 1
- 2024Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications in power gridcited by 0
- 2025Dual-Head Physics-Informed Graph Decision Transformer for Distribution System Restorationcited by 0
- 2026Mycelium: A Generalizable Cross-Grid Multi-Task Model for Electrical Distribution Systemscited by 0
- 2026Mycelium: A Generalizable Cross-Grid Multi-Task Model for Electrical Distribution Systems27 Sep 2026
- 2025PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis29 Aug 2025
- 2025Dual-Head Physics-Informed Graph Decision Transformer for Distribution System Restoration8 Aug 2025
- 2024Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications in power grid13 Oct 2024
- 2023A Robust Data-driven Process Modeling Applied to Time-series Stochastic Power Flow6 Jan 2023
- 2021End-to-End Demand Response Model Identification and Baseline Estimation with Deep Learning2 Sep 2021
- 2021Synthetic Active Distribution System Generation via Unbalanced Graph Generative Adversarial Network2 Aug 2021
- 2021Review of Low Voltage Load Forecasting: Methods, Applications, and Recommendations30 May 2021
- 2021State and Topology Estimation for Unobservable Distribution Systems using Deep Neural Networks15 Apr 2021