OpenSynth/cnz-faraday-3.1
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: 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 For more… See the full description on the dataset page: https://huggingface.co/datasets/OpenSynth/cnz-faraday-3.1.
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:
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
For more information about Faraday, please refer to the workshop paper that Centre for Net Zero presented at ICLR 2024. For more information about OpenSynth, please visit our Github repository https://github.com/OpenSynth-energy/OpenSynth. For more news and updates on OpenSynth, please subscribe to our mailing list here.