Name: Steel Industry Energy Consumption Prediction
Creator: Kaggle
License: https://creativecommons.org/licenses/by/4.0/

About this Dataset

Steel Industry Energy Consumption Prediction

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 information on energy consumption of the industry is stored on the website of the Korea Electric Power Corporation (pccs.kepco.go.kr), and the perspectives on daily, monthly, and annual data are calculated and shown.

Variable Information

Data Variables Type Measurement
Industry Energy Consumption Continuous kWh
Lagging Current reactive power Continuous kVarh
Leading Current reactive power Continuous kVarh
tCO2(CO2) Continuous ppm
Lagging Current power factor Continuous %
Leading Current Power factor Continuous %
Number of Seconds from midnight Continuous S
Week status Categorical (Weekend (0) or a Weekday(1))
Day of week Categorical Sunday, Monday â€¦. Saturday
Load Type Categorical Light Load, Medium Load, Maximum Load

Tables

Steel Industry Data

@kaggle.joebeachcapital_steel_industry_energy_consumption.steel_industry_data

474.73 kB
35,040 rows
11 columns

CREATE TABLE steel_industry_data (
  "date" VARCHAR,
  "usage_kwh" DOUBLE,
  "lagging_current_reactive_power_kvarh" DOUBLE,
  "leading_current_reactive_power_kvarh" DOUBLE,
  "co2_tco2" DOUBLE  -- CO2(tCO2),
  "lagging_current_power_factor" DOUBLE,
  "leading_current_power_factor" DOUBLE,
  "nsm" BIGINT,
  "weekstatus" VARCHAR,
  "day_of_week" VARCHAR,
  "load_type" VARCHAR
);