Green AI Framework Metrics For Energy And Environmental Sustainability

A conceptual framework proposing the integration of AI, blockchain, and IoT for sustainable energy systems. The 5.5 KB Excel file, authored by Di Wu and last updated in March 2026, outlines a model for enhancing energy efficiency and reducing carbon emissions. It serves as a blueprint rather than an operational dataset.

Use Cases

• Analyze framework components like blockchain-managed smart grid data and IoT sensor feeds for system design proposals.
• Benchmark proposed metrics for renewable energy integration and energy demand estimation against existing models.
• Evaluate the conceptual architecture for secure energy transaction transparency and environmental monitoring accuracy.

Strengths

• Framework is explicitly licensed as CC-BY-4.0 for open use.
• Proposes integration of multiple technologies (AI, blockchain, IoT) for a specific domain.

Limitations

• Dataset is extremely small at 5.5 KB, indicating limited quantitative data.
• Contains conceptual framework descriptions rather than empirical or time-series data.
• No sample data or column definitions are provided to validate the proposed model.

Provenance

Source

Di Wu via figshare.

Collection Method

Conceptual research proposing the Green AI framework.

Freshness

Last updated March 2026.