UK Smart Grid Data with Solar Generation and Agile Tariffs for Reinforcement Learning

Merged 15-minute resolution data from UK solar generation, Agile electricity tariffs, and smart meters. The dataset is hosted on Kaggle and is intended for training reinforcement learning agents. The author, organization, and specific temporal coverage are not provided.

Use Cases

• Train RL agents for home energy management based on solar generation and dynamic pricing data.
• Simulate and optimize battery charge/discharge schedules using 15-minute interval data.
• Develop demand response strategies for smart appliances based on Agile tariff signals.
• Benchmark RL algorithms for real-time energy trading in a simulated UK market context.

Strengths

• Data is merged from three distinct sources (solar, tariff, smart meter), enabling multi-faceted analysis.
• 15-minute temporal resolution provides granularity suitable for short-term forecasting and control tasks.

Limitations

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

Provenance

Source

kaggle

Collection Method

Merged from multiple open data sources.

Geography

United Kingdom