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DATASET DESCRIPTION.md

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Appliances Energy Prediction Dataset

This dataset contains measurements of energy consumption in a house over a period of time, along with weather-related features such as temperature and humidity. The goal is to predict the energy consumption of appliances in the house based on these features.

Features

The dataset contains the following features:

  • date - date in format yyyy-mm-dd hh:mm:ss
  • Appliances - energy consumption in Wh
  • lights - energy consumption of light fixtures in the house in Wh
  • T1 - temperature in Celsius in kitchen area
  • RH_1 - humidity in kitchen area
  • T2 - temperature in Celsius in living room area
  • RH_2 - humidity in living room area
  • T3 - temperature in Celsius in laundry room area
  • RH_3 - humidity in laundry room area
  • T4 - temperature in Celsius in office room
  • RH_4 - humidity in office room
  • T5 - temperature in Celsius in bathroom
  • RH_5 - humidity in bathroom
  • T6 - temperature in Celsius outside the building (north side)
  • RH_6 - humidity outside the building (north side)
  • T7 - temperature in Celsius in ironing room
  • RH_7 - humidity in ironing room
  • T8 - temperature in Celsius in teenager room 2
  • RH_8 - humidity in teenager room 2
  • T9 - temperature in Celsius in parents room
  • RH_9 - humidity in parents room
  • T_out - temperature outside in Celsius
  • Press_mm_hg - pressure in mm Hg
  • RH_out - humidity outside in %

Source

This dataset is from the UCI Machine Learning Repository. The data was collected over a period of 4.5 months, with measurements taken every 10 minutes.

License

This dataset is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.