308 PART | III Smart Infrastructure, Smart Prices, Smart Devices TABLE 12.8 Characteristics of Customers Newly Defaulted to CPP Num. Sum of of Max SAIDs kW 15 194 159 103 427 211 167 4,947 84,202 86,294 32,375 184,880 45,605 58,301 Industry Group 1. Agriculture, Mining & Construction 2. Manufacturing 3. Wholesale, Transport, Other Utilities 4. Retail stores 5. Offices, Hotels, Health, Services 6. Schools 7. Government, Entertainment, Other Services 8. Other/Unclassified TOTAL Source: Braithwait et al. [5]. Sum of Avg. kWh 2,409 43,487 31,756 19,383 112,958 16,826 28,400 % of Max kW 1% 17% 17% 7% 37% 9% 12% Avg. Avg. Size Event (kW) LI 330 434 543 314 433 216 349 95 2,624 % LI 4% 5% 3,216 10% 1,982 6,346 0 2,156 7% 5% 0% 6% 7 1,283 857 497,460 570 255,789 0% 100% 122 388 ­35 ­6% 16,384 5% TABLE 12.9 Differences in Percentage Load Impacts by Subgroups Customer Type Kept default CRL (50%) Changed from default CRL Changed CRL to zero Source: Braithwait et al. [5]. Percent of SAIDs 42% 58% 48% Percent Load Impact 3% 9% 9% Concentrations of CPP Load Impacts The methodology of estimating customer-specific regression equations and load impacts also provides the capability to examine the distributions of CPP load impacts across individual customer accounts, and to determine the concentration of load impacts among subsets of customers. Table 12.10 summarizes some of the key indicators of the concentration of CPP load impacts across the three utilities.