Virtual benchmarking study training time series - binary set 1

A dataset with time series for training virtual sensor models for wind turbine aeroelastic loads. Data are in zipped format, each zip file contains 1000 individual time series. For the purpose of space preservation, each time series is stored in parquet binary format with "snappy" encoding. Reading a parquet file in Python can be done with the pandas library, with the following command sequence: import pandas as pd<br> Data = pd.read_parquet(filename)本数据集包含用于训练风力涡轮机气动弹性载荷虚拟传感器模型的时间序列数据。数据采用压缩格式存储，每个压缩包内含1000条独立时间序列。为节省存储空间，每条时间序列均采用Parquet（Parquet）二进制格式并以Snappy（Snappy）编码存储。在Python环境中读取Parquet文件可借助pandas库实现，具体命令序列如下： import pandas as pd Data = pd.read_parquet(filename)