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View Code? Open in Web Editor NEWEDA and model predicting building energy usage intensity based on building characteristics and weather
EDA and model predicting building energy usage intensity based on building characteristics and weather
WiDS 2022 Datathon README Team Model Behavior Team Members: Catherine Richard Jenn Fowler Zutima Tuladhar Preska Mrad NAMING CONVENTIONS --- Data Dictionary ( Copied from https://www.kaggle.com/c/widsdatathon2022/data ) id: building id Year_Factor: anonymized year in which the weather and energy usage factors were observed State_Factor: anonymized state in which the building is located building_class: building classification facility_type: building usage type floor_area: floor area (in square feet) of the building year_built: year in which the building was constructed energy_star_rating: the energy star rating of the building ELEVATION: elevation of the building location january_min_temp: minimum temperature in January (in Fahrenheit) at the location of the building january_avg_temp: average temperature in January (in Fahrenheit) at the location of the building january_max_temp: maximum temperature in January (in Fahrenheit) at the location of the building cooling_degree_days: cooling degree day for a given day is the number of degrees where the daily average temperature exceeds 65 degrees Fahrenheit. Each month is summed to produce an annual total at the location of the building. heating_degree_days: heating degree day for a given day is the number of degrees where the daily average temperature falls under 65 degrees Fahrenheit. Each month is summed to produce an annual total at the location of the building. precipitation_inches: annual precipitation in inches at the location of the building snowfall_inches: annual snowfall in inches at the location of the building snowdepth_inches: annual snow depth in inches at the location of the building avg_temp: average temperature over a year at the location of the building days_below_30F: total number of days below 30 degrees Fahrenheit at the location of the building days_below_20F: total number of days below 20 degrees Fahrenheit at the location of the building days_below_10F: total number of days below 10 degrees Fahrenheit at the location of the building days_below_0F: total number of days below 0 degrees Fahrenheit at the location of the building days_above_80F: total number of days above 80 degrees Fahrenheit at the location of the building days_above_90F: total number of days above 90 degrees Fahrenheit at the location of the building days_above_100F: total number of days above 100 degrees Fahrenheit at the location of the building days_above_110F: total number of days above 110 degrees Fahrenheit at the location of the building direction_max_wind_speed: wind direction for maximum wind speed at the location of the building. Given in 360-degree compass point directions (e.g. 360 = north, 180 = south, etc.). direction_peak_wind_speed: wind direction for peak wind gust speed at the location of the building. Given in 360-degree compass point directions (e.g. 360 = north, 180 = south, etc.). max_wind_speed: maximum wind speed at the location of the building days_with_fog: number of days with fog at the location of the building Target Variable --- site_eui: Site Energy Usage Intensity is the amount of heat and electricity consumed by a building as reflected in utility bills
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