Measurements of GICs in Austria in Sept 2017

The files contain measurements of geomagnetically induced currents (GICs) flowing through the neutral points of two transformers in separate substations in the Austrian power grid. The data cover a period of days in September 2017 when there was one of the strongest geomagnetic storms in the recent years, and subsequently some of the largest GICs recorded in Austria thus far. These are used as an example demonstrating the effectiveness of a GIC forecasting method based on neural networks.<br><br><i>gic_1and5_meas_sept2017.csv</i> - the measurements from substations #1 and #5.<br><i>gic_1_pred_sept2017.csv</i> and <i>gic_5_pred_sept2017.csv</i> - predictions of GICs from incoming solar wind data using a neural network.<br>More information on the measurements and how they were carried out can be found in https://doi.org/10.1029/2021SW002912 . This data is used in the work described in https://doi.org/10.1002/essoar.10508699.1 .<br>

本数据集包含奥地利电网两座独立变电站中两台变压器中性点流过的地磁感应电流（geomagnetically induced currents, GICs）实测数据。数据覆盖2017年9月的数天时段，该时段遭遇了近年最强地磁暴之一，同时记录到奥地利迄今规模最大的部分地磁感应电流事件。该数据集可作为示例，用于验证基于神经网络的地磁感应电流预测方法的有效性。<br><br><i>gic_1and5_meas_sept2017.csv</i>：来自1号与5号变电站的实测数据。<br><i>gic_1_pred_sept2017.csv</i>与<i>gic_5_pred_sept2017.csv</i>：基于传入的太阳风数据，通过神经网络生成的地磁感应电流预测结果。有关本次实测的细节与实施方法，可参考论文链接：https://doi.org/10.1029/2021SW002912。本数据集已被应用于论文https://doi.org/10.1002/essoar.10508699.1 所述的研究工作中。