FiN

FiN数据集由德国人工智能研究中心创建，包含380万个信号噪声比（SNR）评估数据点，用于监测低电压电网的可靠性。该数据集覆盖了约两年的实际操作环境数据，包括多种天气条件和季节效应。数据集的创建旨在解决电网监控、资产管理和安全增强等问题，特别是在智能电网和电力线通信领域。

The FiN dataset was created by the German Research Center for Artificial Intelligence. It contains 3.8 million signal-to-noise ratio (SNR) evaluation data points for monitoring the reliability of low-voltage power grids. This dataset covers approximately two years of real-world operational data, encompassing diverse weather conditions and seasonal effects. It was developed to address issues including power grid monitoring, asset management and security enhancement, particularly in the domains of smart grids and power line communication.