OpenSynth is an open data community, originated by the Centre for Net Zero and open sourced under LF Energy. It empowers both holders of raw smart meter data around the world to be able to generate and share synthetic data, and for community members to generate, improve and share algorithms.
Following the recent launch of the OpenSynth Model Repository, the OpenSynth community has now released the model’s synthetic outputs openly on Zenodo. The dataset is licensed under Creative Commons Attribution 4.0.
The dataset contains 10 million synthetic load profiles trained on over 300 million smart meter readings from 20,000 Octopus Energy UK households sampled between 2021 and 2022. It is conditioned on labels such as:
- Property types: house, flat, terraced, detached, semi-detached etc
- Energy performance certificate (EPC) rating: A/B/C, D/E, F/G etc
- Low Carbon Technology (LCT) ownership: heat pumps, electric vehicles, solar PVs etc
- Seasonality: days of the week and month of the year
Synthetic data is the fastest way to achieve widespread, global access to smart meter datasets, and OpenSynth is spearheading this effort. With the rise of variable renewable energy sources and behind-the-meter technologies such as heat pumps, electric vehicles, and batteries, the need for granular, real-time demand data has never been greater. Datasets like this will make it far easier to perform energy modeling activities while ensuring security and privacy of real-world data.
Read more about this release on the Centre for Net Zero blog.
