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Community Choice Aggregation Feasibility Analysis Alameda County <br />June, 2016 2 MRW & Associates, LLC <br />Figure 3. PG&E’s 2014 Bundled Load in Alameda County by Rate Class <br /> <br /> <br />To estimate CCA loads from PG&E’s 2014 bundled loads, MRW assumed a CCA participation <br />rate of 85% (i.e., 15% of customers opt to stay with PG&E) and a three-year phase in period <br />from 2017 to 2019, with 33% of potential CCA load included in the CCA in 2017, 67% in 2018, <br />and 100% in 2019. To forecast CCA loads through 2030, MRW used a 0.3% annual average <br />growth rate, consistent with the California Energy Commission’s most recent electricity demand forecast for PG&E’s planning area.10 This growth rate incorporates load reductions from energy <br />efficiency of about 6 GWh per year from 2021 through 2030. <br />The CCA load forecast is summarized in Figure 4, which shows annual projected CCA loads by <br />class, with the energy efficiency savings that are included in the forecast indicated by the top <br />(yellow) segment. <br /> <br />10 California Energy Commission. Form 1.1c California Energy Demand Updated Forecast, 2015 - 2025, Mid <br />Demand Baseline Case, Mid AAEE Savings. January 20, 2015 http://www.energy.ca.gov/2014_energypolicy/documents/demand_forecast_cmf/LSE_and_BA/