OpenSynth/cnz-faraday-3.1

该数据集包含1000万个合成的负载配置文件，这些文件是基于2021年至2022年间从2万个Octopus Energy UK家庭中采样的超过3亿个智能电表读数训练得到的。数据集根据多种标签进行了条件化处理，包括物业类型（如房屋、公寓、联排别墅、独立式住宅、半独立式住宅等）、能源性能证书评级（如A/B/C, D/E, F/G等）、低碳技术所有权（如热泵、电动汽车、太阳能光伏等）以及季节性因素（如一周中的天数和一年中的月份）。This dataset contains 10 million synthetic load profiles 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 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), and seasonality (days of the week and month of the year).