Green AI Framework Metrics for Sustainable Energy Systems

Di Wu's Green AI framework proposes an architecture integrating AI, blockchain, and IoT to address sustainability challenges. The framework aims to enhance energy efficiency, reduce carbon emissions, and improve environmental monitoring accuracy. The associated data was last updated in March 2026.

Use Cases

• Model energy demand estimation using smart grid and IoT sensor data.
• Analyze carbon emission reductions from renewable energy integration metrics.
• Simulate blockchain-secured energy transaction transparency with market data.

Strengths

• Data is released under a permissive CC-BY-4.0 license.
• Framework integrates multiple data sources like smart grids and environmental sensors.

Limitations

• The dataset is small at 2.3 MB, indicating limited scope or few records.
• Specific column names, row counts, and data samples are unavailable for assessment.
• Geographic coverage and temporal range of the underlying data are unspecified.

Provenance

Source

Di Wu via figshare.

Collection Method

Proposed framework data; collection method unspecified.

Freshness

Last updated March 2026.