System Data for Robust Scheduling of Integrated Electricity and Gas Systems

System data published as a supplement to a 2024 research article on robust scheduling of integrated electricity and gas systems. The data was created by Behnam Akbari from ETH Zurich to support the cost and flexibility assessment described in the paper. The specific volume, format, and granularity of the data are not detailed in the available metadata.

Use Cases

• Modeling robust scheduling strategies for integrated electricity and gas systems based on the described system data.
• Assessing the cost implications of different operational scenarios in coupled energy infrastructures.
• Evaluating system flexibility under uncertainty using the underlying data structures implied by the research.
• Benchmarking optimization algorithms for multi-energy system dispatch problems.

Strengths

• Data is directly linked to a peer-reviewed publication in the International Journal of Electrical Power & Energy Systems.
• The associated research provides a clear methodological context for the data's intended use.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Behnam Akbari, ETH Zurich

Collection Method

Published as a supplement to a research article.