Raw Data for Simulated Electric Vehicle Charging Behavior

Chongchao Zhang published a 61.0 MB ZIP file containing raw data and parameter settings used to generate a synthetic user behavior dataset for electric vehicle charging. The data supports the reproduction of statistical analyses and figures from the associated study. The dataset was last updated on May 15, 2026.

Use Cases

• Reproducing statistical analyses based on the original raw data and parameters.
• Generating synthetic EV charging behavior datasets using the provided parameter settings.
• Validating simulation models for electric vehicle charging patterns.
• Benchmarking new algorithms against the original study's methodology.

Strengths

• Includes the original raw data and specific parameter settings for full reproducibility.
• Released under a permissive CC-BY-4.0 license.
• The 61.0 MB file size suggests a substantial amount of underlying data.

Limitations

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

Provenance

Source

Chongchao Zhang via figshare

Collection Method

Data used to generate a synthetic dataset; original collection method unspecified.

Freshness

Last updated 2026-05-15 17:40:06.