### Table 1: Distributions over percentage of the e cient value (PEV) ranges, mean PEV, and equilibrium attain- ment for 3300 trials.

1999

"... In PAGE 6: ... We discarded all trials for which the e cient value was zero, and substituted a new trial using a di erent con guration but the same number of consumers and goods. Table1 shows the distributions over ranges of PEV and mean PEV for SAMP-SB and SAMP-SB-D. The decommitment protocol greatly increases the PEV of SAMP-SB, raising the overall mean from 83% to 97%.... ..."

Cited by 30

### Table 1: Distributions over percentage of the e cient value (PEV) ranges, mean PEV, and equilibrium attain- ment for 3300 trials.

1999

"... In PAGE 6: ... We discarded all trials for which the e cient value was zero, and substituted a new trial using a di erent con guration but the same number of consumers and goods. Table1 shows the distributions over ranges of PEV and mean PEV for SAMP-SB and SAMP-SB-D. The decommitment protocol greatly increases the PEV of SAMP-SB, raising the overall mean from 83% to 97%.... ..."

Cited by 30

### Table 1: Distributions over percentage of the e cient value (PEV) ranges, mean PEV, and equilibrium attain- ment for 3300 trials.

1999

"... In PAGE 6: ... We discarded all trials for which the e cient value was zero, and substituted a new trial using a di erent con guration but the same number of consumers and goods. Table1 shows the distributions over ranges of PEV and mean PEV for SAMP-SB and SAMP-SB-D. The decommitment protocol greatly increases the PEV of SAMP-SB, raising the overall mean from 83% to 97%.... ..."

Cited by 30

### Table 3: Basic Assumptions for Residential and Office Building Stationary Fuel Cell Cases Residential Setting Office Building Setting

### Table 7-1. Residential Service Rate Schedule R33

"... In PAGE 17: ...able 6-1. Residential Customer-Owned PV Economic Assumptions...................................... 6-4 Table7 -1.... In PAGE 17: ...able 7-1. Residential Service Rate Schedule R ...................................................................... 7-4 Table7 -2.... In PAGE 17: ...able 7-2. Dual Metering vs. Net Metering Statistics for First Year ........................................ 7-6 Table7 -3.... In PAGE 17: ...able 7-3. Utility Bill of Customer With and Without PV, in First Year .................................. 7-8 Table7 -4.... In PAGE 17: ...able 7-4. Residential Service Rate Schedule R, with Time-Of-Use Periods............................ 7-9 Table7 -5.... In PAGE 17: ...able 7-5. Utility Bill With and Without PV, in First Year ...................................................... 7-9 Table7 -6.... In PAGE 17: ...able 7-6. Utility Bill Savings with TOU, in First Year ........................................................... 7-9 Table7 -7.... In PAGE 17: ...able 7-7. Net Metering Analysis Assumptions..................................................................... 7-11 Table7 -8.... In PAGE 17: ...able 7-8. Revenue Impact of Net Metering Law (Levelized, $/year, nominal)...................... 7-12 Table7 -9.... In PAGE 62: ... 7.2 UTILITY BILL SAVINGS IN THE FIRST YEAR The district apos;s Residential Service Rate Schedule R, as defined in part in Table7 -1, is used to calculate the utility bill savings for the different metering arrangements. Hourly District residential load data from 1994 and hourly expected PV system output from the same year are used as the basis for the calculations.... In PAGE 63: ... Assigning standby fees to small multiple PV generators is analogous to assigning standby fees to residential customers who purchase high efficiency air conditioning units. Figure 7-6, Figure 7-7, Table7 -2, and Table 7-3 present additional net metering analysis results on a monthly basis. 31 The dual metered savings may be somewhat overstated, however, since hourly average data are used in the analysis.... In PAGE 66: ... Table7 -2. Dual Metering vs.... In PAGE 68: ... Table7 -3. Utility Bill of Customer With and Without PV, in First Year Customer with the Following PV System Size 0.... In PAGE 68: ...3 NET METERING VS. TIME-OF-USE RATES The District apos;s Residential Service Rate Schedule R, with optional Time-of-Use- Periods (TOU), is used to calculate the utility bill savings for customers with PV (see Table7 -4). It is assumed the PV system is dual metered and any PV power delivered to the grid is compensated at avoided cost.... In PAGE 68: ... It is assumed the PV system is dual metered and any PV power delivered to the grid is compensated at avoided cost. Table7 -5 shows that an average residential customer on a TOU schedule will have about the same bill as a non-TOU customer (the average TOU customer saves about 1.5% on their annual bill, or $10/year).... In PAGE 69: ... Table7 -4. Residential Service Rate Schedule R, with Time-Of-Use Periods Winter (Nov-Apr) Summer (May-Oct) On Peak ($/kWh) $0.... In PAGE 69: ... apos;s Birthday, Lincoln apos;s Birthday, Washington apos;s Birthday, Memorial Day, Independence Day, Labor Day, Columbus Day, Veterans Day, Thanksgiving, Christmas Day, and all other hours not defined as on-peak. Table7 -5. Utility Bill With and Without PV, in First Year Customer with the Following PV System Size Month No PV 0.... In PAGE 69: ... Utility Bill With and Without PV, in First Year Customer with the Following PV System Size Month No PV 0.5 kW 1 kW 2 kW 3 kW 4 kW Jan $75 $72 $69 $64 $60 $57 Feb $58 $55 $51 $46 $41 $37 Mar $57 $50 $44 $36 $30 $25 Apr $45 $38 $32 $24 $18 $13 May $50 $42 $34 $24 $17 $11 Jun $69 $59 $50 $36 $27 $19 Jul $80 $70 $61 $46 $35 $27 Aug $82 $72 $62 $47 $37 $29 Sep $62 $54 $47 $36 $29 $23 Oct $46 $40 $34 $27 $22 $18 Nov $58 $54 $50 $44 $40 $37 Dec $83 $81 $79 $75 $72 $70 TOTAL $765 $688 $613 $505 $430 $367 Table7 -6. Utility Bill Savings with TOU, in First Year Customer with the Following PV System Size No PV 0.... In PAGE 70: ...4 REVENUE AND RATE IMPACTS OF THE CALIFORNIA NET METERING LAW A present value analysis was conducted to gain a better understanding of the revenue and rate impacts of the net metering law SB656 on the District. Table7 -7 shows the assumptions used to conduct the analysis. The results represent the difference between the revenue and rate impacts of dual metered and net metered PV systems.... In PAGE 70: ... The Base Case scenarios show that PV customers will gain about $70,000/year compared with a gain of almost $10,000/year to the District. Table7 -8 shows that the gain to the District comes from cost savings that result from meter reading and bill paying efficiencies. These are the savings that accrue to the District if an equal number of PV systems were dual metered and the District treated these as independent power producers.... In PAGE 71: ... On a present value basis, this is about $2.3 million in 1996 dollars (see Table7 -9). This scenario assumes that 650 4-kW PV systems would be installed in the next 5 years.... In PAGE 71: ... No matter which case is assumed, the impact of the net metering law on the District apos;s rates is negligible. Table7 -7. Net Metering Analysis Assumptions Cases Evaluated Upper Bound Base Case Lower Bound Program Cap (MW) 2.... In PAGE 72: ... Revenue impact of net metering law (levelized $/year, nominal). Table7 -8. Revenue Impact of Net Metering Law (Levelized, $/year, nominal) Upper Bound Base Case Lower Bound Customer Perspective District Perspective Customer Perspective District Perspective Customer Perspective District Perspective Electric bill revenue saved (lost) $170,385 ($170,385) $69,278 ($69,278) $49,954 ($49,954) Avoided meter hardware amp; interconnection costs n/a ($14,480) n/a ($13,089) n/a $8,120 Avoided meter reading amp; billing costs n/a $0 n/a $91,299 n/a $70,822 Net Impact $170,385 ($184,866) $69,278 $8.... In PAGE 73: ... Table7 -9. Revenue Impact of Net Metering Law (Present Value, 1996$) Upper Bound Base Case Lower Bound Customer Perspective District Perspective Customer Perspective District Perspective Customer Perspective District Perspective Electric bill revenue saved (lost) $2,305,930 ($2,305,930) $968,245 ($968,245) $734,366 ($734,366) Avoided meter hardware amp; interconnection costs n/a ($195,972) n/a ($182,939) n/a $119,375 Avoided meter reading amp; billing costs n/a $0 n/a $1,276,013 n/a $1,042,024 Net Impact $2,305,930 ($2,501,902) $968,245 $124,830 $734,366... ..."

### TABLE 4-6 Annual Residential Water Bill Based on 60,000 Cubic Metres Consumption (13,200,000 Gallons) (2000 / 2001 Rates)

2001

### Table 2 Business transformation projects portfolio used in electronics case study

in N. Abe

"... In PAGE 12: ... First, we describe the results of the metric correlation analysis. Metric correlation analysis The transform regression technique was used to develop a regression model for the expected improvement in each of the financial metrics listed in Table2 , using the dependency tree tool to help choose the explanatory variables whenever appro- priate. More specifically, the modeling was done to predict the expected annual percentage change for each financial metric in the following year, as a function of the percentage changes in the opera- tional and on demand metrics in the current year.... In PAGE 14: ... Each project incurs a cost for implementation and requires an estimated combination of the two resource types that are required to execute the project (financial and operational head count). The duration of each project along with its costs and resource require- ments are summarized in Table2 . The available budget is treated as a consumable resource; the unconsumed amounts at the end of each quarter are assumed to carry forward to the beginning of the next quarter.... In PAGE 16: ... As a first step toward incorporating the variance in the financial improvements that are delivered by the various projects, we developed a Monte Carlo analysis in which the deterministic optimization analysis is carried out for each stochastically sampled set of financial improvement metrics. We assumed that the expected values of the financial improvement predictions in Table2 follow a normal distribution, and chose a uniformly weighted linear combination of the financial metric values as the proxy of the financial optimization objective in each deterministic optimization run. A total of 1000 Monte Carlo simulations of randomized financial improvement predictions were run through the deterministic portfolio optimizer.... ..."

### Table 3: Example transformer temperatures for loss-of-life calculation

2005

### Table 1: Comparison of the probability distribution of the index with the probability distribution of the topological charge.

"... In PAGE 13: ...Table1 the distribution for the topological charge using improved cooling 18 is listed along with the distribution for the index obtained using the overlap 19. The two colums are a result of measurements on a di erent set of independent con gurations.... ..."