Smart Grid Stability Augmented Data for Green AI Framework

9.6 MB CSV file contains data for analyzing smart grid stability within the Green AI framework. The dataset, authored by Di Wu and shared via figshare in March 2026, integrates information from smart grids, environmental sensors, and energy markets.

Use Cases

• Predict grid stability metrics using real-time data from smart grids and IoT sensors.
• Estimate energy demand by analyzing historical patterns from energy market data.
• Train models to maximize renewable energy integration using environmental sensor readings.
• Simulate energy transaction transparency and accountability using blockchain-managed data logs.

Strengths

• 9.6 MB of structured data for model training.
• Data integrates multiple sources: smart grids, environmental sensors, and energy markets.

Limitations

• Unknown row count limits statistical power for training complex models.
• Specific data columns, features, and temporal coverage are not documented.

Provenance

Source

Di Wu via figshare.

Collection Method

Integrated from smart grids, environmental sensors, and energy markets via IoT devices, managed with blockchain.

Freshness

Last updated March 2026.