London Household Smart Meter Energy Consumption with Dynamic Pricing

From November 2011 to February 2014, half-hourly energy consumption readings were collected from 5,567 London households as part of the Low Carbon London project. The dataset includes approximately 167 million rows and contains a unique household identifier, date, time, and consumption in kWh. A subgroup of about 1,100 customers was subjected to Dynamic Time of Use pricing signals during 2013, while the remaining ~4,500 customers were on a flat tariff.

Use Cases

• Analyzing consumer demand elasticity based on dynamic price signals (High: 67.20p/kWh, Low: 3.99p/kWh, Normal: 11.76p/kWh).
• Modeling half-hourly residential load profiles for a representative urban population.
• Evaluating the impact of time-of-use tariffs on grid stress reduction and renewable energy integration.
• Benchmarking energy consumption patterns across different household groups over a multi-year period.

Strengths

• Large-scale time-series data with approximately 167 million rows of half-hourly readings.
• Includes a controlled experiment with detailed Dynamic Time of Use pricing schedules for a subset of 1,100 customers.
• Sample is described as a balanced representation of the Greater London population.

Limitations

• The exact column names and structure are not detailed in the provided metadata.
• The last update date (2026-06-24) appears to be a future date, suggesting potential metadata inaccuracy.
• The dataset size (~10GB) and row count (~167M) are large, which may pose computational challenges.

Provenance

Source

UK Power Networks' Low Carbon London project.

Collection Method

Collected via smart meters from a recruited sample of households.

Time Range

November 2011 - February 2014

Freshness

2026-06-24 21:05:36.011619

Geography

Greater London, United Kingdom