eaiws23's Introduction

EAIWS23

Emergent Algorithmic Intelligence Winter School 2023

Predictive Challenge

The data can be downloaded here:

Variables

Variable	Description	Available Measurements
`date`	Date of the measurement (hourly levels)	`YYYY-MM-DD HH:MM:SS`
`state`	The state where the measurement was taken	`string`
`city`	The city where the measurement was taken	`string`
`PM2.5_target`	Target variable (One hour ahead PM2.5)	`ug/m3`
`PM2.5`	Particulate matter 2.5	`ug/m3`
`CO`	Carbon monoxide	`mg/m3`
`CO2`	Carbon dioxide	`mg/m3`
`NO`	Nitric oxide	`ug/m3`
`NO2`	Nitrogen dioxide	`ug/m3`
`NOx`	Nitrogen oxides	`ppb`
`NH3`	Ammonia	`ug/m3`
`SO2`	Sulfur dioxide	`ug/m3`
`Temp`	Temperature	`°C`
`AT`	Air temperature	`°C`
`BP`	Barometric pressure	`mmHg`
`Benzene`	Concentration of Benzene in the air	`ug/m3`
`CH4`	Methane	`ug/m3`
`Eth-Benzene`	Concentration of Ethylbenzene in the air	`ug/m3`
`HCHO`	Formaldehyde	`ug/m3`
`Hg`	Mercury	`ug/m3`
`MH`	Mixing height	`m`
`MP-Xylene`	Concentration of Meta-Para-Xylene in the air	`ug/m3`
`NMHC`	Non-methane hydrocarbons	`ug/m3`
`O Xylene`	Concentration of Ortho-Xylene in the air	`ug/m3`
`Ozone`	Ozone concentration	`ug/m3`
`Power`	Power consumption	`W`
`RF`	Rainfall	`mm`
`RH`	Relative humidity	`%`
`SPM`	Suspended particulate matter	`ug/m3`
`SR`	Solar radiation	`W/m2`
`THC`	Total hydrocarbons	`ug/m3`
`Toluene`	Concentration of Toluene in the air	`ug/m3`
`VWS`	Wind speed	`m/s`
`WD`	Wind direction	`degree`
`WS`	Wind speed	`m/s`
`Xylene`	Concentration of Xylene in the air	`ug/m3`

The goal is to predict PM2.5_target, the one hour ahead PM2.5 concentration, on the test set. You can use any feature of the data, you are also allowed to use external data to enrich your data set.

This data is a modification of publicly available data. Please do not use the original data set for your solution.

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