The EU contributes 18% of total global warming gas emissions; However, it is increasingly determined to take the lead in the fight against climate change. That is why it has set itself the goal of reaching zero carbon emissions by 2050.
To this end, it has put in place a wealth of resources to help achieve this goal over the next few years, and it will need your help to do so.
This dataset contains data on industrial facilities and emissions across Europe. The dataset will consist of the following variables of interest:
countryName: Country in which the facility is located
EPRETRSectorCode: Code of the sector in which the company specialises
eptrSectorName: Name of the sector in which it specialises
EPRTRAnnexIMainActivityCode: Code of the specialisation within the sector in which they operate
EPRTRAnnexIMainActivityLabel: Specialisation within the sector in which they operate
FacilityInspireID: Building identifier
facilityName: Name of the building in which the activity takes place
City: City in which the facility is located
CITY ID: ID to confirm location
targetRelease: Type of polluter to study
pollutant: Type of pollutant emitted (Target variable). In order to follow the same standard, you must encode this variables as follows:
pollutant number Nitrogen oxides (NOX) 0 Carbon dioxide (CO2) 1 Methane (CH4) 2 DAY: Day on which the report is made
MONTH: Reporting month
reportingYear: Reporting year
CONTINENT: Continent on which the company is located
max_wind_speed: Maximum wind speed
avg_wind_speed: Average wind speed
min_wind_speed: Minimum wind speed
max_temp: Maximum temperature
avg_temp: Average temperature
min_temp: Minimum temperature
DAYS WITH FOG: Total days of the month recorded in the area
REPORTER NAME: Reporter's name
The dataset is split into Training Dataset and Testing Dataset.
fragmentation To train the model, the training dataset has to be used. It is fragmented in different datasets and in different formats.
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