simulate_demand: Simulate the electricity demand for the next season

In robjhyndman/MEFM-package: Monash Electricity Forecasting Model

Description

Simulate the half-hourly/hourly, seasonal peak electricity demand for the next season

Usage

simulate_demand(sim, afcast, nyears = length(sim$hhfit)/seasondays/48, periods = 48)

Arguments

sim	The simulated half-hourly demand (normalized against seasonal average demand)
afcast	The demographic and economic forecasts for the next season
nyears	The length of years of simulation
periods	The periods within a day, choose between 48 (half-hourly data) and 24 (hourly data)

Details

Simulate/forecast the half-hourly/hourly, seasonal peak electricity demand for the next season by incorporating the seasonal demographic & economic forecasts (to be provided by the user)

Value

demand	The forecasted half-hourly demand
annmax	The forecasted seasonal maximum demand

Author(s)

Rob J. Hyndman and Shu Fan

References

R. J. Hyndman and S. Fan (2010) "Density Forecasting for Long-term Peak Electricity Demand", IEEE Trans. Power Systems, 25(2), 1142–1153.

See Also

demand_model, simulate_ddemand, MEFM-package for examples.

robjhyndman/MEFM-package documentation built on May 27, 2019, 11:39 a.m.