The price of electricity depends on many factors. Predicting the price of electricity helps many businesses understand how much electricity they have to pay each year. The Electricity Price Prediction task is based on a case study where you need to predict the daily price of electricity based on the daily consumption of heavy machinery used by businesses Below is the information of the data we have for the task of forecasting electricity prices:
DateTime: Date and time of the record Holiday: contains the name of the holiday if the day is a national holiday HolidayFlag: contains 1 if it’s a bank holiday otherwise 0 DayOfWeek: contains values between 0-6 where 0 is Monday WeekOfYear: week of the year Day: Day of the date Month: Month of the date Year: Year of the date PeriodOfDay: half-hour period of the day ForcastWindProduction: forecasted wind production SystemLoadEA forecasted national load SMPEA: forecasted price ORKTemperature: actual temperature measured ORKWindspeed: actual windspeed measured CO2Intensity: actual C02 intensity for the electricity produced ActualWindProduction: actual wind energy production SystemLoadEP2: actual national system load SMPEP2: the actual price of the electricity consumed (labels or values to be predicted)