You are given the temperature, humidity in various parts of a house and the general weather conditions you are supposed to predict the energy used by the appliances in the house in Wh(Watt-hour). The dataset provided here is a standard dataset which was polluted with noise.
Id: Id
date: time year-month-day hour:minute:second
T1: Temperature in kitchen area, in Celsius
RH_1: Humidity in kitchen area, in %
T2: Temperature in living room area, in Celsius
RH_2: Humidity in living room area, in %
T3: Temperature in laundry room area
RH_3: Humidity in laundry room area, in %
T4: Temperature in office room, in Celsius
RH_4: Humidity in office room, in %
T5: Temperature in bathroom, in Celsius
RH_5: Humidity in bathroom, in %
T6: Temperature outside the building (north side), in Celsius
RH_6: Humidity outside the building (north side), in %
T7: Temperature in ironing room , in Celsius
RH_7: Humidity in ironing room, in %
T8: Temperature in teenager room 2, in Celsius
RH_8: Humidity in teenager room 2, in %
T9: Temperature in parents room, in Celsius
RH_9: Humidity in parents room, in %
T_out: Temperature outside, in Celsius
Press_mm_hg: Pressure in mm Hg
RH_out: Humidity outside in %
Windspeed: Windspeed in m/s
Visibility: Wisibility in km
Tdewpoint: Dew point temperature in °C
Output: Appliance energy use in Wh