<b>Multi resolution electricity consumption dataset of Chinese cities</b>

Accurate estimation of electricity consumption at multi-temporal resolutions is crucial for formulating safe and efficient energy management strategies. However, reliable data on daily and monthly urban electricity consumption is often limited. This study develops a top-down approach based on multi-source data to measure the daily and monthly electricity consumption at city-level. Using this method, we calculated the daily and monthly electricity consumption for 296 cities in China. Additionally, we explored the validity of the measurement results from multiple perspectives. This dataset is highly consistent with the officially released national-scale electricity consumption statistics, with a Pearson correlation coefficient of 0.8878. The dataset in this study can be used for analysis in a variety of cutting-edge research fields, such as urban power system resilience assessment, urban power system risk management strategy and policy development.多时间分辨率下的电力消费量精准估算，对于制定安全高效的能源管理策略至关重要。然而，当前面向城市层面的日度、月度电力消费可靠数据往往较为匮乏。本研究基于多源数据构建了一种自上而下的方法，用于测算城市层面的日度与月度电力消费量。依托该方法，本研究完成了中国296个城市的日度及月度电力消费量测算。此外，本研究还从多维度视角对测算结果的有效性进行了验证分析。本数据集与官方发布的国家级电力消费统计数据具有高度一致性，皮尔逊相关系数（Pearson correlation coefficient）达0.8878。本研究构建的数据集可应用于多个前沿研究领域的分析工作，例如城市电力系统韧性评估、城市电力系统风险管理策略制定以及政策规划等。