AFW_WaterSave_Anonymised_Meter_Read_Data

‘Maximising learning’ is one of Ofwat’s Good practice principles for charging trials, i.e. it is important that companies share results and findings of trials to improve the effectiveness of future trials and wider implementation of more innovative charging approaches. This dataset shows the consumption data from the first year of Affinity Water’s rising block tariff trial, from the period October 2023 – September 2024. The data has been anonymised to ensure data protection. For more information on the WaterSave Tariff trial, please see the Affinity Water webpage.‘最大化学习效益（Maximising learning）’是英国水务办公室（Ofwat）制定的收费试验良好实践原则之一，亦即供水企业需共享试验的所有结果与发现，以提升未来试验的实施效能，并更广泛地推广更具创新性的收费方案。本数据集收录了Affinity Water递增阶梯水价试验首年的用水量数据，采集时段为2023年10月至2024年9月。所有数据均已完成匿名化处理，以保障数据保护与隐私安全。如需了解WaterSave Tariff试验的更多详情，请参阅Affinity Water官方网页。