Faraday Synthetic Data Outputs
<p>This dataset contains 10 million synthetic load profiles of trained on over 300M smart meter readings from 20K Octopus Energy UK households sampled between 2021 and 2022, and is conditioned on labels such as the:</p> <ol> <li> <p>Property types: house, flat, terraced, detached, semi-detached etc</p> </li> <li> <p>Energy performance certificate (EPC) rating: A/B/C, D/E, F/G etc</p> </li> <li> <p>Low Carbon Technology (LCT) ownership: heat pumps, electric vehicles, solar PVs etc</p> </li> <li> <p>Seasonality: days of the week and month of the year</p> </li> </ol> <p><strong> </strong></p> <p>For more information about Faraday, please refer to the <a href="https://www.climatechange.ai/papers/iclr2024/43">workshop paper</a> that Centre for Net Zero presented at ICLR 2024. For more information about OpenSynth, please visit our Github repository <a href="https://github.com/OpenSynth-energy/OpenSynth">https://github.com/OpenSynth-energy/OpenSynth</a>. For more news and updates on OpenSynth, please subscribe to our mailing list <a href="https://lists.lfenergy.org/g/opensynth-discussion">here</a>.</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 8
- Reuse readiness
- 8
- Engagement
- 4