Electric Load Profiles for 50 German Industrial Plants Across 2016 and 2017

Load profile data captures the electricity consumption of 50 small and mid-size enterprises in Germany. The dataset consists of two parts: 20 plants from 2016 and 30 different plants from 2017, with measurements recorded at a 15-minute resolution in kilowatts. Fritz Braeuer from the Karlsruhe Institute of Technology authored this dataset, which has been used in multiple academic publications on energy markets and storage optimization.

Use Cases

• Modeling industrial electricity demand patterns based on 15-minute resolution load data.
• Optimizing battery storage dispatch for CO2 minimization based on time-series consumption profiles.
• Analyzing the economic potential of parallel revenue streams for industrial battery systems based on load variability.
• Benchmarking load profiles of small and mid-size enterprises for energy efficiency studies.

Strengths

• Contains profiles for 50 distinct industrial plants, providing a multi-entity perspective.
• Offers high temporal resolution with 15-minute intervals for a full year of data.
• Has been evaluated and cited in multiple peer-reviewed journal publications, indicating research utility.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset covers two non-consecutive years (2016, 2017) with non-overlapping plant sets, limiting longitudinal analysis.
• Last update date is unknown; freshness unverified.

Provenance

Source

Fritz Braeuer, Karlsruhe Institute of Technology

Collection Method

Likely collected from industrial plant meters or utility data.

Time Range

2016 and 2017

Geography

Germany