Dataset of KALFormer project

About this directory: ETT-SmallDescription: This dataset is part of the ETT (Electricity Transformer Temperature) dataset, which typically involves time series data collected from electric transformers for monitoring and forecasting. The "小型" (Small) version likely contains a smaller subset of data that could be used for quick model testing or experimentation. time_stamp.npyDescription: This file likely contains timestamp data for the time series datasets. .npy is a binary file format used by NumPy to store arrays. It could include the corresponding time steps for each data point in the various time series datasets. V_228.csvDescription: This dataset is likely related to a specific variable, possibly an energy variable (e.g., voltage, or another relevant feature for forecasting tasks). It is stored in CSV format, with 72.23 terabytes of data, which is quite large and could represent a high-resolution time series. W_228.csvDescription: Similar to "V_228.csv", this dataset seems to be another time series related to a different variable, perhaps weather-related data (e.g., wind speed, weather events). The file is comparatively smaller than "V_228.csv". electricity.csvDescription: This dataset likely contains time series data related to electricity consumption or generation. It is a well-known dataset in the domain of energy forecasting, often used to predict demand or optimize energy usage. traffic.csvDescription: This dataset could involve time series data on traffic flow, congestion, or related metrics, often used in smart city projects or transportation management systems. It has a large amount of data (136.48 TB), indicating a high resolution or long time span for the traffic data. weather.csvDescription: This dataset likely contains time series data related to weather conditions, such as temperature, humidity, wind speed, or other meteorological factors. It's essential for applications like weather forecasting or climate analysis.