瑞士住宅用电负荷曲线数据集
Dataset on residential electricity load profiles in Switzerland
AI总结：
本文呈现瑞士2447个住宅设施2023年和2024年的15分钟智能电表测量数据集，含不同类型设施的有功和无功电能，还有相关客户参与试点项目的价格曲线及元数据，用于支持配电网建模、负荷预测及时变电价评估研究。
AI中文摘要：
由于分布式可再生能源发电、热泵和电动汽车的采用日益增加，住宅用电曲线正在发生重大变化。最新的实际测量对于表征这些不断演变的消费模式并为研究提供及时的实证基础至关重要。本文展示了一个来自瑞士2447个住宅设施的15分钟智能电表测量数据集，涵盖2023年和2024年。该数据集包括不同设施类型（如公寓、独栋房屋、热泵和公共建筑区域）的有功和无功电能（提取和注入）。相关客户的一个子集参与了一个具有新型电网电价和自动负荷控制的试点项目，相应的价格曲线和元数据也包括在内。该数据集旨在支持专注于配电网建模、负荷预测和时变电价评估的研究。
英文摘要：
Residential electricity profiles are undergoing significant changes due to the increasing adoption of distributed renewable generation, heat pumps, and electric vehicles. Up-to-date real-world measurements are essential for characterizing these evolving consumption patterns and providing a timely empirical foundation for research. This paper presents a dataset of 15-minute smart meter measurements from 2,447 residential installations in Switzerland, covering the years 2023 and 2024. The dataset encompasses both active and reactive energy (withdrawal and injection) of diverse installation types, including apartments, single-family houses, heat pumps, and common building areas. A subset of the associated customers participated in a pilot project featuring novel grid tariffs and automated load control. The corresponding price profiles and metadata are also included. The dataset aims to support research focusing on distribution grid modeling, load forecasting, and the assessment of time-varying tariffs.
