Figure 24.6 illustrates a representative C-factor curve for residential customers for weekdays at typical
weather conditions, where the C-factor is plotted as a function of month. Values read from this curve
may be used to convert kWh measurements into kW-peak estimates for weekdays.
Figure 24.7 illustrates a diversified load curve for weekdays during February at normal temperatures
as a function of hour of day.
Figure 24.8 illustrates a diversity factor curve for weekdays during February at normal temperatures as
a function of the number of customers.
Figure 24.9 represents variation of load scaling factors for residential customers as a function of
weather condition. Note that weather condition incorporates not only the temperature, but also other
factors such as humidity and wind speed. Variations in these quantities are compounded into a single
index.
Jan Feb Mar Apr May Jun Jul
Month of yearConversion factorAug Sep Oct Nov Dec0.000.020.040.060.080.100.120.000.020.040.060.080.100.12FIGURE 24.6 kWh-to-peak-kW conversion coefficients for residential class for weekdays at normal weather
conditions.
1.8
1.6
1.4
1.2
1.0
0.8
0.6
0.4
0.2
0.01.8
1.6
1.4
1.2
1.0
0.8
0.6
0.4
0.2
0.012 AM1 AM2 AM3 AM4 AM5 AM6 AM7 AM8 AM9 AM10 AM11 AM12 PM1 PM2 PM3 PM4 PM5 PM6 PM7 PM8 PM9 PM10 PM11 PM
Hour of dayDiversified kWFIGURE 24.7 Diversified load curve for residential class for weekdays during February at normal weather
conditions.