The demand estimation is the starting point for planning the future electric power supply. The consistency of demand growth over the years has led to numerous attempts to fit mathematical curves to this trend. One of the simplest curves is P = Poea(t-to) where a is the average per unit growth rate, P is the demand in year t, and Po is the given demand at year to. Assume the peak power demand in the United States in 1984 is 480 GW with an average growth rate of 3.4 percent. Using MATLAB, plot the predicated
The demand estimation is the starting point for planning the future electric power supply. The consistency of demand growth over the years has led to numerous attempts to fit mathematical curves to this trend. One of the simplest curves is P = Poea(t-to) where a is the average per unit growth rate, P is the demand in year t, and Po is the given demand at year to. Assume the peak power demand in the United States in 1984 is 480 GW with an average growth rate of 3.4 percent. Using MATLAB, plot the predicated
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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Transcribed Image Text:1.1. The demand estimation is the starting point for planning the future electric
power supply. The consistency of demand growth over the years has led
to numerous attempts to fit mathematical curves to this trend. One of the
simplest curves is
P = Poea(t-to)
where a is the average per unit growth rate, P is the demand in year t, and
Po is the given demand at year to.
Assume the peak power demand in the United States in 1984 is 480 GW with
an average growth rate of 3.4 percent. Using MATLAB, plot the predicated
peak demand in GW from 1984 to 1999. Estimate the peak power demand
for the year 1999.
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