# Datathon'23 Machine Learning Competition — Data

来源：https://www.kaggle.com/competitions/datathon23-machine-learning-competition/data

采集时间：2026-10-19T21:44:34Z

You are provided with dataset about energy (electricity) usage of manufacturing industry. The information gathered is from the DAEWOO Steel Co. Ltd in Gwangyang, South Korea. It produces several types of coils, steel plates, and iron plates. The information on electricity consumption is held in a cloud-based system.
The task is to predict the variable Load_Type of energy in a industry.

## Files

*   **train.csv** - the training set
*   **test.csv** - the test set
*   **sample_submission.csv** - a sample submission file in the correct format

## Columns

*   `date` - seconds
*   `Usage_kWh` - Electricity usage in Kilo Watt Hour (KWH)
*   `Lagging_Current_Reactive.Power_kVarh` - Lagging power in 1000 reactive volt-amps per hour (KVARH)
*   `Leading_Current_Reactive_Power_kVarh` - Leading power in 1000 reactive volt-amps per hour (KVARH)
*   `CO2(tCO2)` - Carbon dioxide level in Parts per million (PPM)
*   `Lagging_Current_Power_Factor` - Lagging_Current_Power_Factor	Lagging power factor in %
*   `Leading_Current_Power_Factor` - Leading_Current_Power_Factor	Leading power factor in %
*   `NSM` - Number of seconds from midnight
*   `WeekStatus` - Weekday or weekend  
*   `Day_of_week` - Sunday, Monday, Tuesday, Wednesday, Thursday, Friday, Saturday
*   `Load_Type` - Light_Load, Medium_Load, Maximum_Load (**Target**)