Schedule I GreenMountainPowerCorporation FiscalYear(FY)2017TotalRateImpact Revenue Rate $in000's Deficiency Impact FY2017ChangeinBaseRates $ (142) -0.03% FY2017PowerSupplyAdjustor $ 5,342 0.96% $ 5,200 0.93% FY2017ChangeinBaseRateswillapplytoallrateclassesstartingOctober1,2016,exceptfor theTransmissionClasscustomer. Thechangeincludesa9.02%allowedrateofreturn,which reflectstheformulaicresultassociatedwithmid-July10-yearTreasuryBondrates. Pleasenote thatBaseRatesincludethesecondyearofthetwo-yearExogenousChangeAdjustment collection. Thisadjustment,consistingprimarilyoftheMajorStormAdjustmentof$15.2Mfor theperiodOctober1,2014throughMarch31,2015offsetpartiallybyapplicationofthe VermontYankeeRevenueSharingproceedsof$7.9M,resultsinacollectionof$3.1MinFY 2017. FYPowerAdjustorincludesrecoveryofanunder-collectionof$5.3MfortheperiodApril1, 2015toMarch31,2016. SCHEDULEI(A) BASEO&MCALCULATION 2017BaseRate(filedAugust1,2015) PriorYearBaseO&MCosts $ 120,703,671 CPI-UNortheastAdjustment1] $ 724,223 CurrentYearBaseO&MCosts $ 121,427,894 1] BasedonlatestavailablereportasofApril30 Description of 2017 Non-Base O&M Costs – Support Schedule I(B-1) Thepurposeofthisdocumentistodiscussthefollowingcomponentsofthe2017CostofService: Rate Year 2017 PERBOOKS ADJUSTMENT PROFORMA BALANCES COL3-COL1 BALANCES COSTOFSERVICE-$in000s (1) (2) (3) NonBaseO&MCosts-AMI 1,935 (1,193) 742 NonBaseO&MCosts-KCW 930 27 957 NonBaseO&MCosts-VMPD 263 (150) 113 NonBaseO&MCosts-7496MOU 0 0 0 ThesecostsareconsideredO&Minnature,butarenotincludedintheplatform. Pleasenotethatin additiontoplatformcostsandthenon-baseO&Mcostsshownabove,thecompany’sinternal generationcostsarefoundinthe“Production”lineofthesummarycostofservice. Non-BaseO&MCosts–AMI -ThesearecostsassociatedwiththeimplementationofSmartMeters withintheGMPterritory. WhiletheTestYearvalueof$1.935MMisspendingassociatedwith SmartMeters,theRateYearvalueof$0.742MMalsocontainsanettingeffectduetosavingsresulting fromtheadoptionofthistechnology. The2017savingsof$1.566MMreflectcostsoriginallyembedded withinthe2013platform–adjustedbytheplatforminflation-thathavebeeneliminatedduetothe implementationofAMI. The2017RateYearspendingforAMIis$2.307MM. Thechangebetweenthe RateYearvalueof$2.307MMandtheTestYearvalueof$1.935MMisduelargelytoaninfrastructure buildout-associatedamortizationof$0.266MMinFY17thatbeganinApril,2016. Non-BaseO&MCosts–KCW- Thislinerepresentscostsassociatedwiththesynchronouscondenser builttosupporttheKingdomCommunityWindFarm. PeranagreementwiththeDPS,GMPhasmoved someKCW-relatedexpensesfromtheProductionlineintheCostofServicetothisnon-platform,non- PowerSupplyAdjustorline. Theincreaseof$0.027MMfrom$0.930MMintheTestYearto$0.957MM intheRateYearreflectsthoseDPSagreement-affiliatedexpensesthatwereembeddedinthe ProductionTestYearthatwerethenmovedtothislineintheCostofService. Non-BaseO&MCosts–VMPD–Thislinerepresentscostsassociatedwithtreetrimmingtoreclaimthe entireDanbytransmissionlinefromHuntingtonFallstoDanbyQuarry. Non-BaseO&MCosts–7496MOU–Nolongerapplicable. Exh. EFR-5 GREENMOUNTAINPOWERCORPORATION SUMMARYOFREVENUESUNDERCURRENTANDPROPOSEDRATES RATEYEAROCTOBER1,2016-SEPTEMBER2017 -0.03% AVERAGENO KWH REVENUEAT REVENUEAT PERCENT OFCUSTOMERS SALES CURRENTRATES PROPOSEDRATES DIFFERENCE INCREASE Residential 221,698 1,482,869,239 $253,479,926 $253,415,556 ($64,370) -0.03% SmallCommercial&Industrial 41,054 1,551,016,166 220,572,870 $220,516,857 (56,014) -0.03% LargeCommercial&Industrial OtherLarge 70 783,844,005 80,968,762 $80,948,200 (20,562) -0.03% TransmissionClass 1 399,012,519 35,681,000 35,681,000 - 0.00% TotalLargeC&I 71 1,182,856,524 116,649,762 116,629,200 (20,562) StreetLightingandOther 160 5,064,681 2,742,337 $2,741,641 (696) -0.03% TotalRetailSales 262,983 4,221,806,611 $593,444,895 $593,303,253 ($141,642) -0.03% 2.2 GREEN MOUNTAIN POWER CORPORATION Calculation of Rate Increases $ in 000's Total Cost of Service to Ultimate Consumers 593,303 Remove VY Outage Reserve Impact: 0 Net Cost of Service for Non-Transmission Class Consumer: 593,303 Revenue from Ultimate Consumers 593,445 Transmission Class: 35,681 All Other Classes: 557,764 593,445 TotalCostofServicetoUltimateConsumers 593,303 2017TransmissionClassRevenue: $35,681 TotalCostofServiceforNon-TransmissionClassCustomers: 557,622 TotalRevenuefromNon-TransmissionClassCustomers(2016Rates) 557,764 RevenueDeficiencyfromNon-TransmissionClassCustomers: (142) RateIncreaseforNon-TransmissionClassCustomers -0.03% Check: 593,303 TotalCostofServicetoUltimateConsumers 35,681 = TransmissionClassRevenueat2016Rates. 0.00% = FY2017RateIncrease 35,681 35,681 = FY2017TransmissionClassRevenue 557,764 = Non-TransmissionClassRevenueat2016Rates. -0.03% = FY2017RateIncrease 557,622 557,622 = FY2017Non-TransmissionClassRevenue 593,303 = TotalFY2017Revenue 0 = Difference 2.2/2 Green Mountain Power 2017 Budget Forecast Report Preparedfor: Green Mountain Power Preparedby: Itron, Inc. 20 Park Plaza Boston, MA 02116-4399 617-423-7660 July 28, 2016 2.2.1 T C ABLE OF ONTENTS Table of Contents.......................................................................................................i Table of Figures........................................................................................................ii Table of Tables..........................................................................................................ii 2017 Budget Forecast: Forecast Summary.............................................................1 1. Class Sales Forecast.........................................................................................3 Residential.........................................................................................................3 Commercial Sales..............................................................................................7 Industrial and Other Sales...............................................................................9 2. Forecast Assumptions.....................................................................................10 Economic Drivers............................................................................................10 End-Use Saturation and Efficiency Trends...................................................10 Customer Specific Load Adjustments ............................................................12 Other Exogenous Forecasts............................................................................12 Solar Load Forecast.........................................................................................12 3. Methodology....................................................................................................13 Class Sales Forecast........................................................................................13 Residential.......................................................................................................14 Commercial......................................................................................................19 Industrial.........................................................................................................20 Other Use.........................................................................................................21 4. Solar Load Forecast........................................................................................22 Solar Capacity (MW) Forecast........................................................................22 Allocation of Solar Generation to Rate Classes.............................................24 Allocation to Own Use vs. Excess Use............................................................25 5. Revenue Forecast............................................................................................25 Step 1: Derive Rate Class Monthly Sales Forecast.......................................26 Step 2: Estimate monthly billing determinants ...........................................27 Step 3: Calculate Rate Schedule and Revenue Class Revenues ..................28 Step 4: Model Rate Restructuring.................................................................28 Step 5: Validate and Calibrate Revenue Calculation...................................29 Appendix A: Model Statistics and Coefficients....................................................30 Itron,Inc. i 2.2.1 T F ABLE OF IGURES Figure 1: Historical and Projected Net Metering Capacity.........................................2 Figure 2: Residential End-Use Indices (Annual kWh per Household).......................6 Figure 3: Commercial End-Use Intensities (kWh/sqft)..............................................8 Figure 4: Lighting Intensity Comparison...................................................................12 Figure 5: XHeat Variable.........................................................................................15 Figure 6: XCool Variable.........................................................................................16 Figure 7: XOther Variable.......................................................................................16 Figure 8: Residential Average Use (kWh)...............................................................17 Figure 9: Residential Customer Forecast................................................................18 Figure 10: Residential Sales Forecast (MWh) ........................................................18 Figure 11: Commercial Sales Forecast (MWh).......................................................20 Figure 12: Industrial Sales Forecast (kWh).............................................................21 Figure 13: Other Sales Forecast (MWh).................................................................22 Figure 14: Monthly Solar Capacity Forecast............................................................23 Figure 15: Revenue Model......................................................................................26 Figure 16: Residential Rate Class Share Forecast (%)...........................................27 Figure 17: Rate RE02 Demand Customer - Sales Billing Block Forecast............................................................................................................28 Figure 18: Residential Average Use Model.............................................................30 Figure 19: Residential Customer Model..................................................................31 Figure 20: Commercial Sales Model.......................................................................32 Figure 21: Commercial Customer Model................................................................32 Figure 22: Industrial Sales Model............................................................................34 Figure 23: Other Sales Model.................................................................................35 T T ABLE OF ABLES Table 1: Customer Class Sales Forecast (MWh).....................................................1 Table 2: Residential Customer and Use Forecast..................................................4 Table 3: Residential Economic Drivers...................................................................5 Table 4: Commercial Customer Usage Forecast....................................................7 Table 5: State GDP and Employment Forecast.....................................................9 Table 6: Industrial Sales Forecast........................................................................10 Table 7: Additional Solar Generation (FY Basis)..................................................13 Table 8: Solar Load Factors...................................................................................24 Table 9: Solar Generation (FY Basis)....................................................................25 ii 2.2.1 2017 B F : F S UDGET ORECAST ORECAST UMMARY The 2017 budget-year forecast was completed in June 2016. The forecast is based on actual sales and customer data through May 2016. The forecast has also been updated to reflect the February 2016 state economic outlook, current energy efficiency program savings projections from Vermont Energy Investment Corporation (VEIC), updated solar load projections, and expected increase in heat pump saturation as a result of VEIC and GMP promotion of cold climate heat pumps. Sales forecasts are generated at the customer class level and include residential, commercial, industrial and street lighting. Class level sales forecasts are then allocated to rate schedules and billing determinants for the purpose of estimating revenues. Sales, customers and revenues are projected through 2026. The sales and customer forecasts are based on statistical models (linear regression) that relate monthly class sales (average use in the residential sector) to monthly weather conditions, population growth, economic activity, prices and end-use efficiency improvements. The sales forecast is adjusted for factors not reflected in historical data including expected changes in energy requirements for the largest commercial and industrial customers, solar load penetration, and cold climate heat pumps. Impact of future efficiency programs are incorporated into the end-use intensity projections that drive the class sales forecasts. Over the next 10-years, sales are expected to be flat. Table 1 shows the customer class sales forecast. Table 1: Customer Class Sales Forecast (MWh) Year Residential Chg Commercial Chg Industrial Chg Other Chg Total Chg 2016 1,480,023 1,528,335 1,172,925 5,096 4,186,379 2017 1,482,869 0.2% 1,551,016 1.5% 1,182,857 0.8% 5,065 -0.6% 4,221,807 0.8% 2018 1,468,375 -1.0% 1,557,717 0.4% 1,189,175 0.5% 5,065 0.0% 4,220,332 0.0% 2019 1,452,155 -1.1% 1,561,728 0.3% 1,193,493 0.4% 5,065 0.0% 4,212,440 -0.2% 2020 1,428,216 -1.6% 1,563,121 0.1% 1,193,583 0.0% 5,065 0.0% 4,189,985 -0.5% 2021 1,407,962 -1.4% 1,560,101 -0.2% 1,192,359 -0.1% 5,065 0.0% 4,165,488 -0.6% 2022 1,400,397 -0.5% 1,562,887 0.2% 1,192,341 0.0% 5,065 0.0% 4,160,689 -0.1% 2023 1,396,486 -0.3% 1,567,415 0.3% 1,192,705 0.0% 5,065 0.0% 4,161,671 0.0% 2024 1,397,923 0.1% 1,573,504 0.4% 1,192,537 0.0% 5,065 0.0% 4,169,029 0.2% 2025 1,394,753 -0.2% 1,575,381 0.1% 1,192,316 0.0% 5,065 0.0% 4,167,515 0.0% 2026 1,396,384 0.1% 1,580,843 0.3% 1,192,458 0.0% 5,065 0.0% 4,174,750 0.2% 16-26 -0.6% 0.3% 0.2% -0.1% 0.0% *Allsalesforecastsareona“booked”orcalendar-monthbasisbyfiscal-year(OcttoSep). Itron,Inc. 1 2.2.1 Whhiillee ccuussttoommeerrss hhaavvee aavveerraaggeedd 00..55%% aannnnuuaall ggrroowwtthh since 2005,, ssaalleess hhaavvee averaged 0.2% decline. TThhiiss iimmpplliieess tthhaatt aavveerraaggee ccuussttoommeerr uussee hhaass bbeeeenn ddeecclliinniinngg 00..77%% ppeerr yyeeaarr.. TThhiiss ssttrroonngg ddeecclliinnee iinn ccuussttoommeerr uussaaggee iiss llaarrggeellyy tthhee rreessuulltt ooff iimmpprroovveemmeennttss iinn eenndd-uussee eeffffiicciieennccyy dduuee ttoo nneeww ssttaannddaarrddss and aggressive state-widdee eenneerrggyy eeffffiicciieennccyy aaccttiivviittyy.. One of the mmoosstt ssiiggnniiffiiccaanntt ffaacctors impacting sales is tthhee ggrroowwtthh iinn net metering. GGMMPP iiss eexxppeerriieenncciinngg aa sshhaarrpp increase in PV installations, ddrriivveenn bbyy declining ssoollaarr ssyysstteemm ccoossttss,, eexxtteennssiioonn ooff federal tax incentives, and GGMMPP rraattee iinncceennttiivveess.. Figure 1 ssshhhooowwwsss nnneeettt mmmeeettteeerrriiinnnggg cccaaapppaaaccciiitttyyy ppprrrooojjjeeeccctttiiiooonnn bbbyyy sssyyysssttteeemmm sssiiizzzeee cccaaattteeegggooorrryyy... BBeettwweeeenn 22001100 aanndd tthhee eenndd ooff 22001155, total nneett mmeetteerriinngg ccaappaacciittyy hhaass iinnccrreeaasseedd from virtually nothing ttoo over 60 MW off iinnssttaalllleedd ccaappaacciittyy.. GGiivveenn ccuurrrreenntt ppeerrmmiittss aanndd aaccttiivviittyy lleevveell,, aann aaddddiittiioonnaall 6600 MMWW iiss eexxppeecctteedd ttoo bbee iinnssttaalllleedd iinn 22001166,, ddoouubblliinngg tthhee ttoottaall iinnssttaalllleedd ssoollaarr ccaappaacciittyy. Figure 1:: HHiissttoorriiccaall aanndd PPrroojjeecctteedd NNeett MMeetteerriinngg CCaappaacciittyy Itron,Inc. 2 2.2.1
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