WMDRO-IES-DC: Integrated Energy System Scheduling with Data Center Waste Heat

Input data and numerical results from a study on Wasserstein-moment distributionally robust dispatch for an integrated electricity-heating system. The 3.0 MB release includes electricity price profiles, renewable generation forecast-error profiles, data center workload profiles, and scheduling results. It was authored by Haobin Li and last updated on 2026-05-29.

Use Cases

• Benchmarking distributionally robust optimization methods based on the included scheduling and method comparison results.
• Analyzing the impact of renewable forecast errors on system dispatch using the provided forecast-error profiles.
• Modeling data center energy integration based on the included workload and waste heat recovery parameters.
• Conducting sensitivity analysis for robust optimization parameters using the DRO parameter sensitivity results.

Strengths

• Includes results from multiple analysis types: scheduling, ablation, method comparison, and sensitivity.
• Data is associated with a specific, peer-reviewed manuscript, providing context.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality and structure require verification.
• The 3.0 MB size suggests a small-scale or proof-of-concept dataset.

Provenance

Source

figshare

Collection Method

Likely generated as part of academic research for a specific manuscript.

Freshness

Last updated 2026-05-29 05:38:00; freshness should be verified.