Comparison of Intelligent Algorithm-Based Islanding Detection Methods

Wen Sun authored a dataset comparing islanding detection methods based on intelligent algorithms. The dataset is stored as a 9.5 KB XLS file and was last updated on 2026-05-28. It is licensed under CC-BY-4.0.

Use Cases

• Benchmarking islanding detection algorithm performance based on the described comparative analysis.
• Developing new intelligent detection methods based on the comparison of existing techniques.
• Training or validating machine learning models for power grid fault detection using the described methods.

Strengths

• Dataset is openly licensed under CC-BY-4.0, allowing for broad reuse.
• File size is 9.5 KB, indicating a focused and manageable scope for analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Wen Sun via figshare.

Freshness

Last updated 2026-05-28 17:36:29; freshness should be verified.