Simulated Electrical Grid Stability Data for a 4-Node Star System

A simulated dataset for local stability analysis of a 4-node star electrical grid implementing Decentral Smart Grid Control. The analysis was performed using a methodology based on published research, with fixed parameters for averaging time, coupling strength, and damping. The dataset was contributed by Vadim Arzamasov and is licensed under CC-BY-4.0.

Use Cases

• Classifying grid stability states based on simulated input parameters.
• Training models to predict instability in decentralized smart grid control systems.
• Benchmarking machine learning algorithms for time-series or tabular classification tasks in an energy domain.

Strengths

• Has no missing values, which simplifies preprocessing.
• Based on a published methodology for grid stability analysis, providing a research-backed foundation.
• Uses fixed, documented simulation parameters (averaging time: 2 s, coupling strength: 8 s^-2, damping: 0.1 s^-1).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and overall dataset scale are unknown, which may limit suitability assessment.
• The data is simulated, not observational, which may limit real-world applicability.

Provenance

Source

OpenML platform, contributed by Vadim Arzamasov.

Collection Method

Simulation based on a methodology from academic literature.

Time Range

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Freshness

Last update date is unknown; freshness unverified.

Geography

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